
. 
. *******************************
. *
. * Perform Permutation Approach in Hagemann (2019) for Estimates in Table 3 in Manuscript
. *
. *******************************
. 
. use loanshark_data_final, clear

. 
. gen coef = .
(11,032 missing values generated)

. gen fake = 0

. gen ydum = .
(11,032 missing values generated)

. replace ydum = 0 if _n==1
(1 real change made)

. gen enforced = 0 + 1*(_n>5) if _n<9
(11,024 missing values generated)

. gen trend = _n

. 
. foreach v in rate_pct loan loanasked lendrate totalpaid latefee_share default howrepayn3 howrepayn2 lenderrequestwork conscription re
> payendD {
  2. di "**************OLS: `v' *************************"
  3. quietly xi: reg `v' i.year
  4.         forvalues x = 10/16 {
  5.                 quietly replace ydum = _b[_Iyear_20`x'] if _n==`x'-8
  6.                 }
  7.                 reg ydum enforced
  8.                 reg ydum enforced trend
  9.                 scalar count = 1
 10.                         forvalues i = 1/6 {
 11.                                 scalar jm = `i'+1
 12.                                 forvalues j = `=jm'/7 {
 13.                                         scalar km = `j' + 1
 14.                                         forvalues k = `=km'/8 {
 15.                                         quietly replace fake = 1 if (_n==`i'|_n==`j'|_n==`k')
 16.                                         quietly reg ydum fake
 17.                                         scalar count = count + 1
 18.                                         quietly replace coef = _b[fake] if _n==count
 19.                                         quietly replace fake = 0
 20.                                         }
 21.                                         }
 22.                                         }
 23.                         centile coef, centile(2.5 97.5)
 24. di "**************FE_Lender: `v' *************************"                     
 25. quietly xi: areg `v' i.year, abs(sharkid5)
 26.         forvalues x = 10/16 {
 27.                 quietly replace ydum = _b[_Iyear_20`x'] if _n==`x'-8
 28.                 }
 29.                 reg ydum enforced
 30.                 reg ydum enforced trend
 31.                 scalar count = 1
 32.                         forvalues i = 1/6 {
 33.                                 scalar jm = `i'+1
 34.                                 forvalues j = `=jm'/7 {
 35.                                         scalar km = `j' + 1
 36.                                         forvalues k = `=km'/8 {
 37.                                         quietly replace fake = 1 if (_n==`i'|_n==`j'|_n==`k')
 38.                                         quietly reg ydum fake
 39.                                         scalar count = count + 1
 40.                                         quietly replace coef = _b[fake] if _n==count
 41.                                         quietly replace fake = 0
 42.                                         }
 43.                                         }
 44.                                         }
 45.                                 centile coef, centile(2.5 97.5)
 46.                                 
. di "**************FE_Borrower: `v' *************************"
 47. quietly xi: areg `v' i.year, abs(id)
 48.         forvalues x = 10/16 {
 49.                 quietly replace ydum = _b[_Iyear_20`x'] if _n==`x'-8
 50.                 }
 51.                 reg ydum enforced
 52.                 reg ydum enforced trend
 53.                 scalar count = 1
 54.                         forvalues i = 1/6 {
 55.                                 scalar jm = `i'+1
 56.                                 forvalues j = `=jm'/7 {
 57.                                         scalar km = `j' + 1
 58.                                         forvalues k = `=km'/8 {
 59.                                         quietly replace fake = 1 if (_n==`i'|_n==`j'|_n==`k')
 60.                                         quietly reg ydum fake
 61.                                         scalar count = count + 1
 62.                                         quietly replace coef = _b[fake] if _n==count
 63.                                         quietly replace fake = 0
 64.                                         }
 65.                                         }
 66.                                         }
 67.                         centile coef, centile(2.5 97.5)
 68. di "**************FE_Borrower_Lender: `v' *************************"
 69. quietly xi: areg `v' i.year, abs(shark5_bor)
 70.         forvalues x = 10/16 {
 71.                 quietly replace ydum = _b[_Iyear_20`x'] if _n==`x'-8
 72.                 }
 73.                 reg ydum enforced
 74.                 reg ydum enforced trend
 75.                 scalar count = 1
 76.                         forvalues i = 1/6 {
 77.                                 scalar jm = `i'+1
 78.                                 forvalues j = `=jm'/7 {
 79.                                         scalar km = `j' + 1
 80.                                         forvalues k = `=km'/8 {
 81.                                         quietly replace fake = 1 if (_n==`i'|_n==`j'|_n==`k')
 82.                                         quietly reg ydum fake
 83.                                         scalar count = count + 1
 84.                                         quietly replace coef = _b[fake] if _n==count
 85.                                         quietly replace fake = 0
 86.                                         }
 87.                                         }
 88.                                         }
 89.                         centile coef, centile(2.5 97.5)
 90. reg `v' enforcement
 91. areg `v' enforcement, abs(sharkid5)
 92. areg `v' enforcement, abs(id)
 93. areg `v' enforcement, abs(shark5_bor)
 94. }
**************OLS: rate_pct *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     66.93
       Model |  412.531215         1  412.531215   Prob > F        =    0.0002
    Residual |  36.9827833         6  6.16379721   R-squared       =    0.9177
-------------+----------------------------------   Adj R-squared   =    0.9040
       Total |  449.513998         7  64.2162854   Root MSE        =    2.4827

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   14.83296   1.813107     8.18   0.000     10.39644    19.26947
       _cons |   .0113828   1.110297     0.01   0.992    -2.705416    2.728182
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     33.52
       Model |  418.314567         2  209.157283   Prob > F        =    0.0013
    Residual |  31.1994312         5  6.23988623   R-squared       =    0.9306
-------------+----------------------------------   Adj R-squared   =    0.9028
       Total |  449.513998         7  64.2162854   Root MSE        =     2.498

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   12.05606   3.412886     3.53   0.017     3.282963    20.82917
       trend |   .6942233   .7211037     0.96   0.380    -1.159433    2.547879
       _cons |  -2.071287   2.434726    -0.85   0.434     -8.32995    4.187376
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -8.923481       -8.927192   -8.906442*
             |                 97.5    12.55652        9.456905    14.83296*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Lender: rate_pct *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     69.06
       Model |   412.46088         1   412.46088   Prob > F        =    0.0002
    Residual |  35.8353184         6  5.97255307   R-squared       =    0.9201
-------------+----------------------------------   Adj R-squared   =    0.9067
       Total |  448.296199         7  64.0423141   Root MSE        =    2.4439

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   14.83169   1.784758     8.31   0.000     10.46455    19.19884
       _cons |   .0283642   1.092937     0.03   0.980    -2.645956    2.702684
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     34.71
       Model |  418.175684         2  209.087842   Prob > F        =    0.0012
    Residual |  30.1205151         5  6.02410301   R-squared       =    0.9328
-------------+----------------------------------   Adj R-squared   =    0.9059
       Total |  448.296199         7  64.0423141   Root MSE        =    2.4544

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   12.07131   3.353355     3.60   0.016     3.451232    20.69138
       trend |   .6900968   .7085256     0.97   0.375    -1.131226     2.51142
       _cons |  -2.041926   2.392258    -0.85   0.432    -8.191421    4.107568
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -8.923735       -8.927425   -8.897857*
             |                 97.5    12.53213        9.397244    14.83169*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower: rate_pct *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     92.94
       Model |  425.174805         1  425.174805   Prob > F        =    0.0001
    Residual |  27.4475415         6  4.57459024   R-squared       =    0.9394
-------------+----------------------------------   Adj R-squared   =    0.9293
       Total |  452.622347         7  64.6603352   Root MSE        =    2.1388

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   15.05855    1.56198     9.64   0.000     11.23652    18.88058
       _cons |  -.0962108   .9565135    -0.10   0.923    -2.436715    2.244293
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     45.43
       Model |  429.014636         2  214.507318   Prob > F        =    0.0006
    Residual |  23.6077102         5  4.72154205   R-squared       =    0.9478
-------------+----------------------------------   Adj R-squared   =    0.9270
       Total |  452.622347         7  64.6603352   Root MSE        =    2.1729

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   12.79586   2.968762     4.31   0.008     5.164412     20.4273
       trend |    .565673   .6272654     0.90   0.408    -1.046764     2.17811
       _cons |   -1.79323   2.117892    -0.85   0.436    -7.237444    3.650984
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5    -9.10688       -9.112423   -9.057285*
             |                 97.5    12.57541        9.160735    15.05855*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower_Lender: rate_pct *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     97.82
       Model |  395.321531         1  395.321531   Prob > F        =    0.0001
    Residual |  24.2480337         6  4.04133895   R-squared       =    0.9422
-------------+----------------------------------   Adj R-squared   =    0.9326
       Total |  419.569565         7  59.9385092   Root MSE        =    2.0103

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   14.52027   1.468122     9.89   0.000      10.9279    18.11263
       _cons |   .0625547   .8990371     0.07   0.947     -2.13731    2.262419
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     50.16
       Model |  399.651131         2  199.825565   Prob > F        =    0.0005
    Residual |  19.9184339         5  3.98368677   R-squared       =    0.9525
-------------+----------------------------------   Adj R-squared   =    0.9335
       Total |  419.569565         7  59.9385092   Root MSE        =    1.9959

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |    12.1176   2.726942     4.44   0.007     5.107773    19.12743
       trend |   .6006663   .5761718     1.04   0.345    -.8804304    2.081763
       _cons |  -1.739444    1.94538    -0.89   0.412    -6.740202    3.261314
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -8.777617       -8.798127   -8.728031*
             |                 97.5    12.12234        8.795303    14.52027*

* Lower (upper) confidence limit held at minimum (maximum) of sample

      Source |       SS           df       MS      Number of obs   =    11,032
-------------+----------------------------------   F(1, 11030)     =  38822.10
       Model |  372081.642         1  372081.642   Prob > F        =    0.0000
    Residual |  105714.553    11,030  9.58427496   R-squared       =    0.7787
-------------+----------------------------------   Adj R-squared   =    0.7787
       Total |  477796.195    11,031  43.3139511   Root MSE        =    3.0958

------------------------------------------------------------------------------
    rate_pct |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   14.65095   .0743578   197.03   0.000      14.5052    14.79671
       _cons |   19.24273   .0328566   585.66   0.000     19.17833    19.30714
------------------------------------------------------------------------------

Linear regression, absorbing indicators         Number of obs     =     11,027
Absorbed variable: sharkid5                     No. of categories =        773
                                                F(   1,  10253)   =   37132.34
                                                Prob > F          =     0.0000
                                                R-squared         =     0.8084
                                                Adj R-squared     =     0.7940
                                                Root MSE          =     2.9880

------------------------------------------------------------------------------
    rate_pct |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   14.65606   .0760574   192.70   0.000     14.50698    14.80515
       _cons |   19.24139   .0320997   599.43   0.000     19.17847    19.30431
------------------------------------------------------------------------------
F test of absorbed indicators: F(772, 10253) = 2.056          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     11,032
Absorbed variable: id                           No. of categories =      1,090
                                                F(   1,   9941)   =   48750.67
                                                Prob > F          =     0.0000
                                                R-squared         =     0.8410
                                                Adj R-squared     =     0.8235
                                                Root MSE          =     2.7648

------------------------------------------------------------------------------
    rate_pct |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   14.81341   .0670911   220.80   0.000      14.6819    14.94493
       _cons |   19.21101   .0294024   653.38   0.000     19.15338    19.26865
------------------------------------------------------------------------------
F test of absorbed indicators: F(1089, 9941) = 3.571          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     11,027
Absorbed variable: shark5_bor                   No. of categories =      5,592
                                                F(   1,   5434)   =   53427.31
                                                Prob > F          =     0.0000
                                                R-squared         =     0.9613
                                                Adj R-squared     =     0.9215
                                                Root MSE          =     1.8441

------------------------------------------------------------------------------
    rate_pct |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   14.94247   .0646459   231.14   0.000     14.81574    15.06921
       _cons |   19.18545   .0216299   886.99   0.000     19.14304    19.22785
------------------------------------------------------------------------------
F test of absorbed indicators: F(5591, 5434) = 4.588          Prob > F = 0.000
**************OLS: loan *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     65.77
       Model |  2189255.59         1  2189255.59   Prob > F        =    0.0002
    Residual |  199708.584         6   33284.764   R-squared       =    0.9164
-------------+----------------------------------   Adj R-squared   =    0.9025
       Total |  2388964.17         7  341280.596   Root MSE        =    182.44

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -1080.557   133.2362    -8.11   0.000    -1406.574   -754.5397
       _cons |   53.63888   81.59015     0.66   0.535     -146.005    253.2828
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     27.51
       Model |  2189928.42         2  1094964.21   Prob > F        =    0.0020
    Residual |   199035.75         5  39807.1499   R-squared       =    0.9167
-------------+----------------------------------   Adj R-squared   =    0.8834
       Total |  2388964.17         7  341280.596   Root MSE        =    199.52

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -1050.605   272.5925    -3.85   0.012    -1751.326   -349.8836
       trend |  -7.487957   57.59568    -0.13   0.902    -155.5424    140.5665
       _cons |   76.10276   194.4654     0.39   0.712    -423.7865     575.992
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5    -936.138       -1080.557   -671.2507*
             |                 97.5    723.1445        668.0665    737.5639*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Lender: loan *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     71.32
       Model |  1970907.57         1  1970907.57   Prob > F        =    0.0002
    Residual |  165803.983         6  27633.9972   R-squared       =    0.9224
-------------+----------------------------------   Adj R-squared   =    0.9095
       Total |  2136711.56         7  305244.508   Root MSE        =    166.23

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -1025.256   121.4007    -8.45   0.000    -1322.313   -728.1996
       _cons |   18.48405   74.34245     0.25   0.812    -163.4254    200.3935
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     30.72
       Model |  1975909.49         2  987954.746   Prob > F        =    0.0016
    Residual |  160802.065         5   32160.413   R-squared       =    0.9247
-------------+----------------------------------   Adj R-squared   =    0.8946
       Total |  2136711.56         7  305244.508   Root MSE        =    179.33

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -943.5911   245.0159    -3.85   0.012    -1573.424   -313.7578
       trend |  -20.41633   51.76905    -0.39   0.710    -153.4929    112.6602
       _cons |   79.73304   174.7924     0.46   0.667    -369.5852    529.0513
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -883.7751       -1025.256   -638.7039*
             |                 97.5    675.7269        622.8818     676.537*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower: loan *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =    151.64
       Model |  2486336.98         1  2486336.98   Prob > F        =    0.0000
    Residual |  98376.0024         6  16396.0004   R-squared       =    0.9619
-------------+----------------------------------   Adj R-squared   =    0.9556
       Total |  2584712.98         7  369244.711   Root MSE        =    128.05

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -1151.541   93.51221   -12.31   0.000    -1380.357   -922.7247
       _cons |  -67.68622    57.2643    -1.18   0.282    -207.8069    72.43448
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     71.67
       Model |  2497595.26         2  1248797.63   Prob > F        =    0.0002
    Residual |  87117.7158         5  17423.5432   R-squared       =    0.9663
-------------+----------------------------------   Adj R-squared   =    0.9528
       Total |  2584712.98         7  369244.711   Root MSE        =       132

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -1029.021    180.344    -5.71   0.002     -1492.61   -565.4324
       trend |   -30.6299   38.10462    -0.80   0.458    -128.5809    67.32114
       _cons |   24.20347    128.656     0.19   0.858    -306.5173    354.9242
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -963.6641       -1151.541   -603.4123*
             |                 97.5    781.9041        698.3669    800.1575*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower_Lender: loan *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     28.86
       Model |  2587689.44         1  2587689.44   Prob > F        =    0.0017
    Residual |  538031.119         6  89671.8531   R-squared       =    0.8279
-------------+----------------------------------   Adj R-squared   =    0.7992
       Total |  3125720.56         7  446531.509   Root MSE        =    299.45

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -1174.777   218.6893    -5.37   0.002     -1709.89   -639.6637
       _cons |  -263.5341   133.9193    -1.97   0.097    -591.2227    64.15459
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     14.35
       Model |  2661974.21         2   1330987.1   Prob > F        =    0.0085
    Residual |  463746.353         5  92749.2705   R-squared       =    0.8516
-------------+----------------------------------   Adj R-squared   =    0.7923
       Total |  3125720.56         7  446531.509   Root MSE        =    304.55

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -860.0607   416.0913    -2.07   0.094    -1929.657     209.536
       trend |  -78.67908   87.91533    -0.89   0.412    -304.6726    147.3145
       _cons |  -27.49683   296.8363    -0.09   0.930    -790.5389    735.5452
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -1064.811       -1174.777   -696.6607*
             |                 97.5    913.7076        724.2567    956.3409*

* Lower (upper) confidence limit held at minimum (maximum) of sample

      Source |       SS           df       MS      Number of obs   =    11,018
-------------+----------------------------------   F(1, 11016)     =    970.14
       Model |  2.1481e+09         1  2.1481e+09   Prob > F        =    0.0000
    Residual |  2.4392e+10    11,016  2214264.31   R-squared       =    0.0809
-------------+----------------------------------   Adj R-squared   =    0.0809
       Total |  2.6540e+10    11,017  2409048.05   Root MSE        =      1488

------------------------------------------------------------------------------
        loan |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -1116.141   35.83453   -31.15   0.000    -1186.383   -1045.898
       _cons |   1669.706   15.79273   105.73   0.000     1638.749    1700.663
------------------------------------------------------------------------------

Linear regression, absorbing indicators         Number of obs     =     11,013
Absorbed variable: sharkid5                     No. of categories =        771
                                                F(   1,  10241)   =     902.99
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2621
                                                Adj R-squared     =     0.2065
                                                Root MSE          =  1382.8510

------------------------------------------------------------------------------
        loan |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -1060.464   35.29022   -30.05   0.000     -1129.64   -991.2887
       _cons |   1659.282   14.85472   111.70   0.000     1630.164      1688.4
------------------------------------------------------------------------------
F test of absorbed indicators: F(770, 10241) = 3.263          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     11,018
Absorbed variable: id                           No. of categories =      1,090
                                                F(   1,   9927)   =    1970.03
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6006
                                                Adj R-squared     =     0.5567
                                                Root MSE          =  1033.3659

------------------------------------------------------------------------------
        loan |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -1116.565   25.15635   -44.39   0.000    -1165.876   -1067.253
       _cons |   1669.788   10.99053   151.93   0.000     1648.245    1691.332
------------------------------------------------------------------------------
F test of absorbed indicators: F(1089, 9927) = 11.860         Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     11,013
Absorbed variable: shark5_bor                   No. of categories =      5,590
                                                F(   1,   5422)   =    1261.90
                                                Prob > F          =     0.0000
                                                R-squared         =     0.8617
                                                Adj R-squared     =     0.7191
                                                Root MSE          =   822.7294

------------------------------------------------------------------------------
        loan |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -1029.045   28.96828   -35.52   0.000    -1085.835   -972.2559
       _cons |   1653.177   9.651312   171.29   0.000     1634.256    1672.097
------------------------------------------------------------------------------
F test of absorbed indicators: F(5589, 5422) = 5.477          Prob > F = 0.000
**************OLS: loanasked *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     40.04
       Model |  1529259.85         1  1529259.85   Prob > F        =    0.0007
    Residual |  229159.933         6  38193.3222   R-squared       =    0.8697
-------------+----------------------------------   Adj R-squared   =    0.8480
       Total |  1758419.78         7  251202.825   Root MSE        =    195.43

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -903.1087   142.7227    -6.33   0.001    -1252.339   -553.8788
       _cons |   141.2821   87.39945     1.62   0.157    -72.57662    355.1409
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     17.56
       Model |  1539223.44         2  769611.719   Prob > F        =    0.0055
    Residual |  219196.341         5  43839.2681   R-squared       =    0.8753
-------------+----------------------------------   Adj R-squared   =    0.8255
       Total |  1758419.78         7  251202.825   Root MSE        =    209.38

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -1018.368   286.0652    -3.56   0.016    -1753.722   -283.0143
       trend |   28.81492   60.44231     0.48   0.654     -126.557    184.1868
       _cons |   54.83739   204.0767     0.27   0.799    -469.7585    579.4333
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -801.7367       -903.1086   -552.7808*
             |                 97.5    658.7734         570.723    694.2056*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Lender: loanasked *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     55.32
       Model |  1356755.03         1  1356755.03   Prob > F        =    0.0003
    Residual |  147161.096         6  24526.8494   R-squared       =    0.9021
-------------+----------------------------------   Adj R-squared   =    0.8858
       Total |  1503916.13         7  214845.161   Root MSE        =    156.61

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -850.6484   114.3721    -7.44   0.000    -1130.507   -570.7898
       _cons |   102.3368   70.03835     1.46   0.194    -69.04086    273.7145
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     23.59
       Model |  1359786.93         2  679893.465   Prob > F        =    0.0028
    Residual |  144129.194         5  28825.8389   R-squared       =    0.9042
-------------+----------------------------------   Adj R-squared   =    0.8658
       Total |  1503916.13         7  214845.161   Root MSE        =    169.78

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -914.2293    231.966    -3.94   0.011    -1510.517   -317.9417
       trend |   15.89524   49.01177     0.32   0.759    -110.0935     141.884
       _cons |   54.65109   165.4828     0.33   0.755    -370.7359    480.0381
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -741.0882       -850.6484   -514.4617*
             |                 97.5    597.7085         544.166    624.9404*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower: loanasked *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     62.70
       Model |  1945415.13         1  1945415.13   Prob > F        =    0.0002
    Residual |  186175.275         6  31029.2126   R-squared       =    0.9127
-------------+----------------------------------   Adj R-squared   =    0.8981
       Total |  2131590.41         7  304512.915   Root MSE        =    176.15

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -1018.604   128.6426    -7.92   0.000    -1333.381   -703.8273
       _cons |   18.20746   78.77717     0.23   0.825    -174.5533    210.9682
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     26.82
       Model |  1949868.78         2  974934.392   Prob > F        =    0.0021
    Residual |  181721.621         5  36344.3243   R-squared       =    0.9147
-------------+----------------------------------   Adj R-squared   =    0.8806
       Total |  2131590.41         7  304512.915   Root MSE        =    190.64

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -1095.664   260.4664    -4.21   0.008    -1765.214   -426.1139
       trend |   19.26494   55.03357     0.35   0.741    -122.2034    160.7332
       _cons |  -39.58736   185.8147    -0.21   0.840    -517.2393    438.0646
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -864.1818       -1018.604   -590.8903*
             |                 97.5    668.2866        616.5883    674.8355*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower_Lender: loanasked *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     21.92
       Model |  1608292.93         1  1608292.93   Prob > F        =    0.0034
    Residual |  440208.373         6  73368.0622   R-squared       =    0.7851
-------------+----------------------------------   Adj R-squared   =    0.7493
       Total |   2048501.3         7  292643.043   Root MSE        =    270.87

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -926.1513   197.8121    -4.68   0.003     -1410.18   -442.1225
       _cons |  -117.0772   121.1347    -0.97   0.371    -413.4831    179.3287
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      9.23
       Model |  1611784.34         2   805892.17   Prob > F        =    0.0210
    Residual |  436716.963         5  87343.3926   R-squared       =    0.7868
-------------+----------------------------------   Adj R-squared   =    0.7015
       Total |   2048501.3         7  292643.043   Root MSE        =    295.54

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -857.9222   403.7834    -2.12   0.087     -1895.88     180.036
       trend |  -17.05728   85.31481    -0.20   0.849     -236.366    202.2514
       _cons |  -65.90537   288.0559    -0.23   0.828    -806.3767     674.566
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5    -848.827       -926.1513    -594.989*
             |                 97.5    682.8574        565.6728    699.9575*

* Lower (upper) confidence limit held at minimum (maximum) of sample

      Source |       SS           df       MS      Number of obs   =    10,821
-------------+----------------------------------   F(1, 10819)     =    601.49
       Model |  1.4855e+09         1  1.4855e+09   Prob > F        =    0.0000
    Residual |  2.6720e+10    10,819  2469737.84   R-squared       =    0.0527
-------------+----------------------------------   Adj R-squared   =    0.0526
       Total |  2.8206e+10    10,820  2606802.66   Root MSE        =    1571.5

------------------------------------------------------------------------------
   loanasked |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   -939.254   38.29751   -24.53   0.000    -1014.324   -864.1838
       _cons |   1956.943   16.81489   116.38   0.000     1923.983    1989.904
------------------------------------------------------------------------------

Linear regression, absorbing indicators         Number of obs     =     10,816
Absorbed variable: sharkid5                     No. of categories =        748
                                                F(   1,  10067)   =     547.60
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2431
                                                Adj R-squared     =     0.1869
                                                Root MSE          =  1456.1545

------------------------------------------------------------------------------
   loanasked |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -878.8464   37.55628   -23.40   0.000    -952.4642   -805.2286
       _cons |   1945.754   15.76406   123.43   0.000     1914.853    1976.655
------------------------------------------------------------------------------
F test of absorbed indicators: F(747, 10067) = 3.390          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     10,821
Absorbed variable: id                           No. of categories =      1,068
                                                F(   1,   9752)   =    1299.37
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6126
                                                Adj R-squared     =     0.5702
                                                Root MSE          =  1058.4729

------------------------------------------------------------------------------
   loanasked |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -938.2579   26.02886   -36.05   0.000    -989.2799    -887.236
       _cons |   1956.751   11.34518   172.47   0.000     1934.512     1978.99
------------------------------------------------------------------------------
F test of absorbed indicators: F(1067, 9752) = 13.212         Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     10,816
Absorbed variable: shark5_bor                   No. of categories =      5,406
                                                F(   1,   5409)   =     640.15
                                                Prob > F          =     0.0000
                                                R-squared         =     0.8659
                                                Adj R-squared     =     0.7319
                                                Root MSE          =   836.1648

------------------------------------------------------------------------------
   loanasked |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -743.4501   29.38403   -25.30   0.000    -801.0546   -685.8455
       _cons |   1919.641   9.836569   195.15   0.000     1900.357    1938.925
------------------------------------------------------------------------------
F test of absorbed indicators: F(5405, 5409) = 6.069          Prob > F = 0.000
**************OLS: lendrate *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     36.21
       Model |  .136836094         1  .136836094   Prob > F        =    0.0009
    Residual |  .022671112         6  .003778519   R-squared       =    0.8579
-------------+----------------------------------   Adj R-squared   =    0.8342
       Total |  .159507206         7  .022786744   Root MSE        =    .06147

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.2701467   .0448911    -6.02   0.001    -.3799913   -.1603022
       _cons |  -.0301847   .0274901    -1.10   0.314    -.0974505     .037081
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     24.23
       Model |  .144589437         2  .072294719   Prob > F        =    0.0027
    Residual |  .014917769         5  .002983554   R-squared       =    0.9065
-------------+----------------------------------   Adj R-squared   =    0.8691
       Total |  .159507206         7  .022786744   Root MSE        =    .05462

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.1684718   .0746277    -2.26   0.074    -.3603085    .0233649
       trend |  -.0254187    .015768    -1.61   0.168    -.0659516    .0151142
       _cons |   .0460715   .0532389     0.87   0.426    -.0907834    .1829263
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.2427866       -.2701467   -.1839106*
             |                 97.5     .181933        .1642057    .1850663*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Lender: lendrate *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     33.06
       Model |  .136106214         1  .136106214   Prob > F        =    0.0012
    Residual |  .024698374         6  .004116396   R-squared       =    0.8464
-------------+----------------------------------   Adj R-squared   =    0.8208
       Total |  .160804587         7  .022972084   Root MSE        =    .06416

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.2694253   .0468552    -5.75   0.001    -.3840759   -.1547747
       _cons |  -.0282979   .0286928    -0.99   0.362    -.0985068    .0419109
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     20.75
       Model |  .143515994         2  .071757997   Prob > F        =    0.0038
    Residual |  .017288593         5  .003457719   R-squared       =    0.8925
-------------+----------------------------------   Adj R-squared   =    0.8495
       Total |  .160804587         7  .022972084   Root MSE        =     .0588

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.1700286   .0803393    -2.12   0.088    -.3765474    .0364903
       trend |  -.0248492   .0169748    -1.46   0.203    -.0684842    .0187859
       _cons |   .0462496   .0573135     0.81   0.456    -.1010793    .1935786
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.2429145       -.2694253   -.1876796*
             |                 97.5    .1794997        .1632306    .1825979*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower: lendrate *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     21.44
       Model |  .133755665         1  .133755665   Prob > F        =    0.0036
    Residual |  .037425036         6  .006237506   R-squared       =    0.7814
-------------+----------------------------------   Adj R-squared   =    0.7449
       Total |  .171180701         7  .024454386   Root MSE        =    .07898

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.2670887   .0576773    -4.63   0.004    -.4082199   -.1259574
       _cons |  -.0252244     .03532    -0.71   0.502    -.1116492    .0612005
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     13.24
       Model |  .143994618         2  .071997309   Prob > F        =    0.0101
    Residual |  .027186083         5  .005437217   R-squared       =    0.8412
-------------+----------------------------------   Adj R-squared   =    0.7777
       Total |  .171180701         7  .024454386   Root MSE        =    .07374

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.1502472   .1007446    -1.49   0.196    -.4092194     .108725
       trend |  -.0292104   .0212862    -1.37   0.228    -.0839282    .0255075
       _cons |   .0624068   .0718704     0.87   0.425     -.122342    .2471555
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.2481414       -.2670887   -.2016914*
             |                 97.5    .1784421        .1629321    .1824497*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower_Lender: lendrate *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     30.58
       Model |  .170186987         1  .170186987   Prob > F        =    0.0015
    Residual |   .03338797         6  .005564662   R-squared       =    0.8360
-------------+----------------------------------   Adj R-squared   =    0.8087
       Total |  .203574958         7  .029082137   Root MSE        =     .0746

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.3012746   .0544777    -5.53   0.001    -.4345767   -.1679725
       _cons |  -.0507945   .0333606    -1.52   0.179    -.1324251     .030836
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     27.91
       Model |  .186840956         2  .093420478   Prob > F        =    0.0019
    Residual |  .016734002         5    .0033468   R-squared       =    0.9178
-------------+----------------------------------   Adj R-squared   =    0.8849
       Total |  .203574958         7  .029082137   Root MSE        =    .05785

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.1522602   .0790402    -1.93   0.112    -.3554396    .0509192
       trend |  -.0372536   .0167003    -2.23   0.076    -.0801831    .0056759
       _cons |   .0609663   .0563867     1.08   0.329    -.0839804    .2059129
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.2761775       -.3012746   -.2023783*
             |                 97.5    .2167825        .1860686    .2214862*

* Lower (upper) confidence limit held at minimum (maximum) of sample

      Source |       SS           df       MS      Number of obs   =    10,807
-------------+----------------------------------   F(1, 10805)     =   2144.29
       Model |  150.595883         1  150.595883   Prob > F        =    0.0000
    Residual |  758.847115    10,805  .070231107   R-squared       =    0.1656
-------------+----------------------------------   Adj R-squared   =    0.1655
       Total |  909.442998    10,806  .084160929   Root MSE        =    .26501

------------------------------------------------------------------------------
    lendrate |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -.2998698   .0064758   -46.31   0.000    -.3125635   -.2871762
       _cons |    .858755   .0028355   302.86   0.000     .8531968    .8643131
------------------------------------------------------------------------------

Linear regression, absorbing indicators         Number of obs     =     10,802
Absorbed variable: sharkid5                     No. of categories =        746
                                                F(   1,  10055)   =    1950.89
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2275
                                                Adj R-squared     =     0.1702
                                                Root MSE          =     0.2643

------------------------------------------------------------------------------
    lendrate |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -.3018806   .0068347   -44.17   0.000    -.3152779   -.2884832
       _cons |   .8591563    .002861   300.30   0.000     .8535482    .8647644
------------------------------------------------------------------------------
F test of absorbed indicators: F(745, 10055) = 1.081          Prob > F = 0.069

Linear regression, absorbing indicators         Number of obs     =     10,807
Absorbed variable: id                           No. of categories =      1,068
                                                F(   1,   9738)   =    2310.98
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2995
                                                Adj R-squared     =     0.2226
                                                Root MSE          =     0.2558

------------------------------------------------------------------------------
    lendrate |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   -.303367   .0063106   -48.07   0.000    -.3157371    -.290997
       _cons |   .8594255   .0027418   313.45   0.000     .8540509    .8648001
------------------------------------------------------------------------------
F test of absorbed indicators: F(1067, 9738) = 1.744          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     10,802
Absorbed variable: shark5_bor                   No. of categories =      5,404
                                                F(   1,   5397)   =    1639.67
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6263
                                                Adj R-squared     =     0.2521
                                                Root MSE          =     0.2509

------------------------------------------------------------------------------
    lendrate |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -.3586147   .0088562   -40.49   0.000    -.3759765   -.3412529
       _cons |   .8700388   .0029519   294.73   0.000     .8642518    .8758258
------------------------------------------------------------------------------
F test of absorbed indicators: F(5403, 5397) = 1.231          Prob > F = 0.000
**************OLS: totalpaid *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =      7.54
       Model |  781011.305         1  781011.305   Prob > F        =    0.0335
    Residual |  621735.766         6  103622.628   R-squared       =    0.5568
-------------+----------------------------------   Adj R-squared   =    0.4829
       Total |  1402747.07         7  200392.439   Root MSE        =     321.9

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -645.3986   235.0859    -2.75   0.033    -1220.633   -70.16402
       _cons |   136.7819   143.9602     0.95   0.379    -215.4759    489.0397
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      3.15
       Model |  781917.228         2  390958.614   Prob > F        =    0.1303
    Residual |  620829.843         5  124165.969   R-squared       =    0.5574
-------------+----------------------------------   Adj R-squared   =    0.3804
       Total |  1402747.07         7  200392.439   Root MSE        =    352.37

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -680.1534   481.4317    -1.41   0.217    -1917.713    557.4062
       trend |   8.688701    101.721     0.09   0.935    -252.7935    270.1709
       _cons |   110.7158   343.4497     0.32   0.760    -772.1497    993.5813
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -682.9255       -686.7555   -572.0821*
             |                 97.5    525.2415        455.9043    542.1517*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Lender: totalpaid *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =      6.92
       Model |  666247.637         1  666247.637   Prob > F        =    0.0390
    Residual |  577627.206         6   96271.201   R-squared       =    0.5356
-------------+----------------------------------   Adj R-squared   =    0.4582
       Total |  1243874.84         7  177696.406   Root MSE        =    310.28

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -596.0974   226.5936    -2.63   0.039    -1150.552   -41.64291
       _cons |   75.94445   138.7596     0.55   0.604    -263.5882    415.4771
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      2.94
       Model |  672043.558         2  336021.779   Prob > F        =    0.1433
    Residual |  571831.284         5  114366.257   R-squared       =    0.5403
-------------+----------------------------------   Adj R-squared   =    0.3564
       Total |  1243874.84         7  177696.406   Root MSE        =    338.18

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -508.1889   462.0429    -1.10   0.322    -1695.908    679.5303
       trend |  -21.97711   97.62439    -0.23   0.831    -272.9286    228.9744
       _cons |   141.8758   329.6179     0.43   0.685    -705.4339    989.1855
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -642.0795       -651.4083   -575.0637*
             |                 97.5    458.1439        406.3517    460.6158*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower: totalpaid *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     18.34
       Model |   1036874.7         1   1036874.7   Prob > F        =    0.0052
    Residual |  339171.442         6  56528.5737   R-squared       =    0.7535
-------------+----------------------------------   Adj R-squared   =    0.7124
       Total |  1376046.14         7  196578.021   Root MSE        =    237.76

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -743.6396   173.6334    -4.28   0.005    -1168.505   -318.7739
       _cons |  -123.8855   106.3283    -1.17   0.288    -384.0615    136.2906
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      7.71
       Model |  1039247.47         2  519623.737   Prob > F        =    0.0296
    Residual |  336798.672         5  67359.7343   R-squared       =    0.7552
-------------+----------------------------------   Adj R-squared   =    0.6573
       Total |  1376046.14         7  196578.021   Root MSE        =    259.54

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -687.3929   354.5958    -1.94   0.110     -1598.91    224.1246
       trend |  -14.06168   74.92203    -0.19   0.859    -206.6549    178.5315
       _cons |  -81.70041   252.9659    -0.32   0.760      -731.97    568.5691
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -685.2748       -743.6396   -481.1702*
             |                 97.5    568.5637        460.1065    602.3505*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower_Lender: totalpaid *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =      9.09
       Model |  669486.425         1  669486.425   Prob > F        =    0.0236
    Residual |  442033.149         6  73672.1914   R-squared       =    0.6023
-------------+----------------------------------   Adj R-squared   =    0.5360
       Total |  1111519.57         7  158788.511   Root MSE        =    271.43

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -597.5445   198.2217    -3.01   0.024    -1082.575   -112.5135
       _cons |  -348.8575   121.3855    -2.87   0.028    -645.8771   -51.83787
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      7.98
       Model |   846253.56         2   423126.78   Prob > F        =    0.0278
    Residual |  265266.014         5  53053.2028   R-squared       =    0.7613
-------------+----------------------------------   Adj R-squared   =    0.6659
       Total |  1111519.57         7  158788.511   Root MSE        =    230.33

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -112.0659   314.6945    -0.36   0.736    -921.0139    696.8822
       trend |  -121.3697   66.49135    -1.83   0.128    -292.2911    49.55181
       _cons |    15.2515   224.5007     0.07   0.948    -561.8458    592.3488
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -589.4247       -597.5445   -415.0839*
             |                 97.5    610.7791        389.6271    661.7888*

* Lower (upper) confidence limit held at minimum (maximum) of sample

      Source |       SS           df       MS      Number of obs   =    11,032
-------------+----------------------------------   F(1, 11030)     =    249.97
       Model |  1.0224e+09         1  1.0224e+09   Prob > F        =    0.0000
    Residual |  4.5115e+10    11,030  4090242.84   R-squared       =    0.0222
-------------+----------------------------------   Adj R-squared   =    0.0221
       Total |  4.6138e+10    11,031  4182560.77   Root MSE        =    2022.4

------------------------------------------------------------------------------
   totalpaid |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -768.0113   48.57594   -15.81   0.000    -863.2288   -672.7937
       _cons |   2606.507   21.46431   121.43   0.000     2564.433    2648.581
------------------------------------------------------------------------------

Linear regression, absorbing indicators         Number of obs     =     11,027
Absorbed variable: sharkid5                     No. of categories =        773
                                                F(   1,  10253)   =     212.27
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1860
                                                Adj R-squared     =     0.1246
                                                Root MSE          =  1913.7725

------------------------------------------------------------------------------
   totalpaid |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   -709.726   48.71362   -14.57   0.000    -805.2143   -614.2378
       _cons |   2594.916   20.55941   126.22   0.000     2554.616    2635.217
------------------------------------------------------------------------------
F test of absorbed indicators: F(772, 10253) = 2.673          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     11,032
Absorbed variable: id                           No. of categories =      1,090
                                                F(   1,   9941)   =     447.19
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5272
                                                Adj R-squared     =     0.4754
                                                Root MSE          =  1481.3034

------------------------------------------------------------------------------
   totalpaid |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -760.1352   35.94553   -21.15   0.000    -830.5957   -689.6747
       _cons |   2604.969     15.753   165.36   0.000      2574.09    2635.848
------------------------------------------------------------------------------
F test of absorbed indicators: F(1089, 9941) = 9.752          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     11,027
Absorbed variable: shark5_bor                   No. of categories =      5,592
                                                F(   1,   5434)   =     151.23
                                                Prob > F          =     0.0000
                                                R-squared         =     0.7751
                                                Adj R-squared     =     0.5436
                                                Root MSE          =  1381.8345

------------------------------------------------------------------------------
   totalpaid |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |    -595.72   48.44164   -12.30   0.000     -690.685    -500.755
       _cons |   2572.646   16.20809   158.73   0.000     2540.872    2604.421
------------------------------------------------------------------------------
F test of absorbed indicators: F(5591, 5434) = 3.253          Prob > F = 0.000
**************OLS: latefee_share *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =    129.36
       Model |   .25073897         1   .25073897   Prob > F        =    0.0000
    Residual |  .011629585         6  .001938264   R-squared       =    0.9557
-------------+----------------------------------   Adj R-squared   =    0.9483
       Total |  .262368555         7  .037481222   Root MSE        =    .04403

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .3656876   .0321518    11.37   0.000     .2870149    .4443604
       _cons |   .0152629   .0196889     0.78   0.468    -.0329141      .06344
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     68.92
       Model |  .253184597         2  .126592298   Prob > F        =    0.0002
    Residual |  .009183959         5  .001836792   R-squared       =    0.9650
-------------+----------------------------------   Adj R-squared   =    0.9510
       Total |  .262368555         7  .037481222   Root MSE        =    .04286

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .3085839   .0585549     5.27   0.003     .1580637    .4591041
       trend |   .0142759    .012372     1.15   0.301    -.0175273    .0460791
       _cons |  -.0275648   .0417726    -0.66   0.539    -.1349448    .0798151
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.2382178       -.2415785   -.2213256*
             |                 97.5    .3067945        .2078229    .3656876*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Lender: latefee_share *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =    110.54
       Model |  .238538726         1  .238538726   Prob > F        =    0.0000
    Residual |  .012947759         6   .00215796   R-squared       =    0.9485
-------------+----------------------------------   Adj R-squared   =    0.9399
       Total |  .251486485         7  .035926641   Root MSE        =    .04645

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |     .35668   .0339251    10.51   0.000     .2736683    .4396918
       _cons |    .014799   .0207748     0.71   0.503    -.0360351    .0656331
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     60.08
       Model |   .24143998         2   .12071999   Prob > F        =    0.0003
    Residual |  .010046506         5  .002009301   R-squared       =    0.9601
-------------+----------------------------------   Adj R-squared   =    0.9441
       Total |  .251486485         7  .035926641   Root MSE        =    .04483

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .2944841   .0612429     4.81   0.005     .1370541     .451914
       trend |    .015549   .0129399     1.20   0.283    -.0177142    .0488121
       _cons |   -.031848   .0436902    -0.73   0.499    -.1441573    .0804613
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5    -.233015       -.2349651   -.2156371*
             |                 97.5    .3006151        .2073489      .35668*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower: latefee_share *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     19.09
       Model |  .268379783         1  .268379783   Prob > F        =    0.0047
    Residual |  .084372101         6  .014062017   R-squared       =    0.7608
-------------+----------------------------------   Adj R-squared   =    0.7210
       Total |  .352751884         7  .050393126   Root MSE        =    .11858

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |    .378333   .0866011     4.37   0.005     .1664279    .5902382
       _cons |  -.0207678   .0530321    -0.39   0.709    -.1505326    .1089971
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      8.40
       Model |  .271860237         2  .135930118   Prob > F        =    0.0252
    Residual |  .080891648         5   .01617833   R-squared       =    0.7707
-------------+----------------------------------   Adj R-squared   =    0.6790
       Total |  .352751884         7  .050393126   Root MSE        =    .12719

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |    .310211   .1737802     1.79   0.134    -.1365051    .7569272
       trend |   .0170305   .0367178     0.46   0.662    -.0773555    .1114165
       _cons |  -.0718592   .1239734    -0.58   0.587    -.3905431    .2468246
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.2479969       -.2507889   -.2402143*
             |                 97.5    .3497445          .30088     .378333*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower_Lender: latefee_share *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     34.25
       Model |  .278397536         1  .278397536   Prob > F        =    0.0011
    Residual |  .048773785         6  .008128964   R-squared       =    0.8509
-------------+----------------------------------   Adj R-squared   =    0.8261
       Total |   .32717132         7   .04673876   Root MSE        =    .09016

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .3853293   .0658441     5.85   0.001     .2242146    .5464441
       _cons |   .0858209   .0403211     2.13   0.077    -.0128413    .1844832
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     58.10
       Model |  .313674258         2  .156837129   Prob > F        =    0.0003
    Residual |  .013497063         5  .002699413   R-squared       =    0.9587
-------------+----------------------------------   Adj R-squared   =    0.9422
       Total |   .32717132         7   .04673876   Root MSE        =    .05196

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1684523   .0709852     2.37   0.064     -.014021    .3509257
       trend |   .0542192   .0149984     3.62   0.015     .0156647    .0927738
       _cons |  -.0768368   .0506403    -1.52   0.190    -.2070119    .0533383
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.2880032       -.3063442   -.2452808*
             |                 97.5    .3331831        .2466523    .3853293*

* Lower (upper) confidence limit held at minimum (maximum) of sample

      Source |       SS           df       MS      Number of obs   =     9,439
-------------+----------------------------------   F(1, 9437)      =    316.22
       Model |  227.817457         1  227.817457   Prob > F        =    0.0000
    Residual |  6798.88862     9,437  .720450208   R-squared       =    0.0324
-------------+----------------------------------   Adj R-squared   =    0.0323
       Total |  7026.70607     9,438  .744512192   Root MSE        =    .84879

------------------------------------------------------------------------------
latefee_sh~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .3716531      .0209    17.78   0.000     .3306846    .4126216
       _cons |   .2167885   .0099283    21.84   0.000     .1973269      .23625
------------------------------------------------------------------------------

Linear regression, absorbing indicators         Number of obs     =      9,434
Absorbed variable: sharkid5                     No. of categories =        745
                                                F(   1,   8688)   =     262.02
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0821
                                                Adj R-squared     =     0.0034
                                                Root MSE          =     0.8616

------------------------------------------------------------------------------
latefee_sh~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .3655417   .0225822    16.19   0.000     .3212752    .4098082
       _cons |   .2179207   .0102313    21.30   0.000     .1978649    .2379766
------------------------------------------------------------------------------
F test of absorbed indicators: F(744, 8688) = 0.631           Prob > F = 1.000

Linear regression, absorbing indicators         Number of obs     =      9,439
Absorbed variable: id                           No. of categories =      1,090
                                                F(   1,   8348)   =     340.68
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1764
                                                Adj R-squared     =     0.0689
                                                Root MSE          =     0.8326

------------------------------------------------------------------------------
latefee_sh~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .3837411   .0207906    18.46   0.000     .3429863    .4244959
       _cons |   .2140607     .00977    21.91   0.000     .1949091    .2332122
------------------------------------------------------------------------------
F test of absorbed indicators: F(1089, 8348) = 1.341          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =      9,434
Absorbed variable: shark5_bor                   No. of categories =      5,207
                                                F(   1,   4226)   =     137.05
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5990
                                                Adj R-squared     =     0.1049
                                                Root MSE          =     0.8165

------------------------------------------------------------------------------
latefee_sh~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .3572475   .0305157    11.71   0.000     .2974207    .4170743
       _cons |   .2197934   .0108692    20.22   0.000      .198484    .2411028
------------------------------------------------------------------------------
F test of absorbed indicators: F(5206, 4226) = 1.147          Prob > F = 0.000
**************OLS: default *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =    147.52
       Model |  .047055938         1  .047055938   Prob > F        =    0.0000
    Residual |   .00191385         6  .000318975   R-squared       =    0.9609
-------------+----------------------------------   Adj R-squared   =    0.9544
       Total |  .048969788         7  .006995684   Root MSE        =    .01786

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1584187    .013043    12.15   0.000     .1265037    .1903338
       _cons |  -.0274236   .0079872    -3.43   0.014    -.0469675   -.0078797
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     71.72
       Model |  .047320402         2  .023660201   Prob > F        =    0.0002
    Residual |  .001649386         5  .000329877   R-squared       =    0.9663
-------------+----------------------------------   Adj R-squared   =    0.9528
       Total |  .048969788         7  .006995684   Root MSE        =    .01816

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1771969   .0248147     7.14   0.001     .1134086    .2409852
       trend |  -.0046945   .0052431    -0.90   0.412    -.0181723    .0087832
       _cons |    -.01334   .0177026    -0.75   0.485     -.058846    .0321661
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.1134379       -.1175625   -.0978272*
             |                 97.5    .1305769        .0852853    .1584187*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Lender: default *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     97.18
       Model |  .045350964         1  .045350964   Prob > F        =    0.0001
    Residual |  .002800036         6  .000466673   R-squared       =    0.9418
-------------+----------------------------------   Adj R-squared   =    0.9322
       Total |     .048151         7  .006878714   Root MSE        =     .0216

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1555223   .0157763     9.86   0.000      .116919    .1941255
       _cons |  -.0323127    .009661    -3.34   0.016    -.0559522   -.0086731
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     51.35
       Model |  .045915385         2  .022957692   Prob > F        =    0.0005
    Residual |  .002235616         5  .000447123   R-squared       =    0.9536
-------------+----------------------------------   Adj R-squared   =    0.9350
       Total |     .048151         7  .006878714   Root MSE        =    .02115

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1829551     .02889     6.33   0.001     .1086911    .2572191
       trend |  -.0068582   .0061041    -1.12   0.312    -.0225493    .0088329
       _cons |  -.0117381   .0206099    -0.57   0.594    -.0647174    .0412413
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.1144371       -.1184352    -.096774*
             |                 97.5    .1314864        .0844416    .1555223*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower: default *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     25.10
       Model |  .043028035         1  .043028035   Prob > F        =    0.0024
    Residual |  .010286654         6  .001714442   R-squared       =    0.8071
-------------+----------------------------------   Adj R-squared   =    0.7749
       Total |  .053314689         7  .007616384   Root MSE        =    .04141

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1514869   .0302385     5.01   0.002     .0774959     .225478
       _cons |  -.0613714   .0185172    -3.31   0.016    -.1066814   -.0160613
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     12.79
       Model |  .044596017         2  .022298008   Prob > F        =    0.0108
    Residual |  .008718672         5  .001743734   R-squared       =    0.8365
-------------+----------------------------------   Adj R-squared   =    0.7711
       Total |  .053314689         7  .007616384   Root MSE        =    .04176

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1972105   .0570524     3.46   0.018     .0505527    .3438682
       trend |  -.0114309   .0120545    -0.95   0.387     -.042418    .0195562
       _cons |  -.0270787   .0407007    -0.67   0.535    -.1317032    .0775458
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.1264434       -.1291873   -.0952813*
             |                 97.5     .141058        .0950439    .1514869*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower_Lender: default *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     15.08
       Model |  .058002157         1  .058002157   Prob > F        =    0.0081
    Residual |  .023083223         6  .003847204   R-squared       =    0.7153
-------------+----------------------------------   Adj R-squared   =    0.6679
       Total |   .08108538         7  .011583626   Root MSE        =    .06203

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |    .175882   .0452973     3.88   0.008     .0650436    .2867204
       _cons |  -.1049787   .0277388    -3.78   0.009    -.1728531   -.0371043
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     11.99
       Model |  .067096538         2  .033548269   Prob > F        =    0.0124
    Residual |  .013988842         5  .002797768   R-squared       =    0.8275
-------------+----------------------------------   Adj R-squared   =    0.7585
       Total |   .08108538         7  .011583626   Root MSE        =    .05289

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .2859994   .0722669     3.96   0.011     .1002315    .4717673
       trend |  -.0275293   .0152692    -1.80   0.131      -.06678    .0117213
       _cons |  -.0223907   .0515546    -0.43   0.682    -.1549161    .1101347
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.1646113       -.1743333   -.1110764*
             |                 97.5    .1678117        .1135301     .175882*

* Lower (upper) confidence limit held at minimum (maximum) of sample

      Source |       SS           df       MS      Number of obs   =    11,030
-------------+----------------------------------   F(1, 11028)     =    408.34
       Model |  47.0256275         1  47.0256275   Prob > F        =    0.0000
    Residual |  1270.02143    11,028   .11516335   R-squared       =    0.0357
-------------+----------------------------------   Adj R-squared   =    0.0356
       Total |  1317.04705    11,029  .119416724   Root MSE        =    .33936

------------------------------------------------------------------------------
     default |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1647403   .0081525    20.21   0.000       .14876    .1807207
       _cons |   .8292216   .0036018   230.22   0.000     .8221613    .8362818
------------------------------------------------------------------------------

Linear regression, absorbing indicators         Number of obs     =     11,025
Absorbed variable: sharkid5                     No. of categories =        773
                                                F(   1,  10251)   =     366.13
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1012
                                                Adj R-squared     =     0.0334
                                                Root MSE          =     0.3398

------------------------------------------------------------------------------
     default |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1655551   .0086522    19.13   0.000     .1485952    .1825151
       _cons |    .828985   .0036508   227.07   0.000     .8218288    .8361412
------------------------------------------------------------------------------
F test of absorbed indicators: F(772, 10251) = 0.967          Prob > F = 0.730

Linear regression, absorbing indicators         Number of obs     =     11,030
Absorbed variable: id                           No. of categories =      1,090
                                                F(   1,   9939)   =     400.39
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1401
                                                Adj R-squared     =     0.0458
                                                Root MSE          =     0.3376

------------------------------------------------------------------------------
     default |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1639394    .008193    20.01   0.000     .1478794    .1799994
       _cons |   .8293779     .00359   231.03   0.000     .8223408     .836415
------------------------------------------------------------------------------
F test of absorbed indicators: F(1089, 9939) = 1.108          Prob > F = 0.010

Linear regression, absorbing indicators         Number of obs     =     11,025
Absorbed variable: shark5_bor                   No. of categories =      5,592
                                                F(   1,   5432)   =     252.30
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4842
                                                Adj R-squared     =    -0.0469
                                                Root MSE          =     0.3536

------------------------------------------------------------------------------
     default |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1970307   .0124044    15.88   0.000     .1727131    .2213484
       _cons |   .8228384   .0041487   198.34   0.000     .8147053    .8309714
------------------------------------------------------------------------------
F test of absorbed indicators: F(5591, 5432) = 0.845          Prob > F = 1.000
**************OLS: howrepayn3 *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =    255.98
       Model |  .044510787         1  .044510787   Prob > F        =    0.0000
    Residual |  .001043322         6  .000173887   R-squared       =    0.9771
-------------+----------------------------------   Adj R-squared   =    0.9733
       Total |  .045554109         7   .00650773   Root MSE        =    .01319

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1540749   .0096301    16.00   0.000     .1305108    .1776391
       _cons |   -.024079   .0058972    -4.08   0.006    -.0385091    -.009649
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =    150.87
       Model |  .044811558         2  .022405779   Prob > F        =    0.0000
    Residual |  .000742552         5   .00014851   R-squared       =    0.9837
-------------+----------------------------------   Adj R-squared   =    0.9772
       Total |  .045554109         7   .00650773   Root MSE        =    .01219

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1741006   .0166499    10.46   0.000     .1313007    .2169006
       trend |  -.0050064   .0035179    -1.42   0.214    -.0140496    .0040367
       _cons |  -.0090598   .0118779    -0.76   0.480    -.0395929    .0214734
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.1057158       -.1075111   -.0938277*
             |                 97.5    .1261328        .0787662    .1540749*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Lender: howrepayn3 *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =    117.59
       Model |  .036171203         1  .036171203   Prob > F        =    0.0000
    Residual |  .001845627         6  .000307605   R-squared       =    0.9515
-------------+----------------------------------   Adj R-squared   =    0.9434
       Total |   .03801683         7  .005430976   Root MSE        =    .01754

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1388932   .0128084    10.84   0.000     .1075521    .1702342
       _cons |  -.0200626   .0078435    -2.56   0.043     -.039255   -.0008702
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     49.59
       Model |  .036192398         2  .018096199   Prob > F        =    0.0005
    Residual |  .001824432         5  .000364886   R-squared       =    0.9520
-------------+----------------------------------   Adj R-squared   =    0.9328
       Total |   .03801683         7  .005430976   Root MSE        =     .0191

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1442092   .0260983     5.53   0.003     .0771214     .211297
       trend |   -.001329   .0055143    -0.24   0.819    -.0155039    .0128459
       _cons |  -.0160755   .0186183    -0.86   0.427    -.0639355    .0317844
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0945857       -.0976088   -.0845051*
             |                 97.5    .1181066        .0756333    .1388932*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower: howrepayn3 *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     21.50
       Model |  .037873207         1  .037873207   Prob > F        =    0.0036
    Residual |  .010571057         6  .001761843   R-squared       =    0.7818
-------------+----------------------------------   Adj R-squared   =    0.7454
       Total |  .048444263         7  .006920609   Root MSE        =    .04197

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1421233   .0306537     4.64   0.004     .0671164    .2171302
       _cons |  -.0292432   .0187715    -1.56   0.170    -.0751754    .0166889
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      9.02
       Model |   .03793204         2   .01896602   Prob > F        =    0.0219
    Residual |  .010512223         5  .002102445   R-squared       =    0.7830
-------------+----------------------------------   Adj R-squared   =    0.6962
       Total |  .048444263         7  .006920609   Root MSE        =    .04585

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1332664   .0626463     2.13   0.087    -.0277711     .294304
       trend |   .0022142   .0132365     0.17   0.874    -.0318112    .0362396
       _cons |  -.0358859   .0446914    -0.80   0.458    -.1507688     .078997
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.1049684       -.1080544    -.088639*
             |                 97.5    .1328345        .1008519    .1421233*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower_Lender: howrepayn3 *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     68.89
       Model |   .03553888         1   .03553888   Prob > F        =    0.0002
    Residual |  .003095323         6  .000515887   R-squared       =    0.9199
-------------+----------------------------------   Adj R-squared   =    0.9065
       Total |  .038634203         7  .005519172   Root MSE        =    .02271

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1376738   .0165873     8.30   0.000      .097086    .1782615
       _cons |  -.0390717   .0101576    -3.85   0.008    -.0639265   -.0142168
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     32.32
       Model |  .035860315         2  .017930157   Prob > F        =    0.0014
    Residual |  .002773888         5  .000554778   R-squared       =    0.9282
-------------+----------------------------------   Adj R-squared   =    0.8995
       Total |  .038634203         7  .005519172   Root MSE        =    .02355

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1583759   .0321805     4.92   0.004     .0756533    .2410986
       trend |  -.0051755   .0067994    -0.76   0.481    -.0226539    .0123028
       _cons |   -.023545   .0229573    -1.03   0.352    -.0825587    .0354687
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.1001928       -.1005909   -.0819316*
             |                 97.5    .1215225        .0763885    .1376738*

* Lower (upper) confidence limit held at minimum (maximum) of sample

      Source |       SS           df       MS      Number of obs   =    11,025
-------------+----------------------------------   F(1, 11023)     =    209.06
       Model |  40.9640262         1  40.9640262   Prob > F        =    0.0000
    Residual |   2159.8982    11,023  .195944679   R-squared       =    0.0186
-------------+----------------------------------   Adj R-squared   =    0.0185
       Total |  2200.86222    11,024    .1996428   Root MSE        =    .44266

------------------------------------------------------------------------------
  howrepayn3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1537381   .0106328    14.46   0.000     .1328959    .1745802
       _cons |   .2455191   .0046998    52.24   0.000     .2363066    .2547316
------------------------------------------------------------------------------

Linear regression, absorbing indicators         Number of obs     =     11,020
Absorbed variable: sharkid5                     No. of categories =        773
                                                F(   1,  10246)   =     171.39
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1058
                                                Adj R-squared     =     0.0383
                                                Root MSE          =     0.4381

------------------------------------------------------------------------------
  howrepayn3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1460257   .0111543    13.09   0.000     .1241611    .1678902
       _cons |   .2469565   .0047089    52.44   0.000     .2377261    .2561869
------------------------------------------------------------------------------
F test of absorbed indicators: F(772, 10246) = 1.293          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     11,025
Absorbed variable: id                           No. of categories =      1,090
                                                F(   1,   9934)   =     181.12
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1521
                                                Adj R-squared     =     0.0591
                                                Root MSE          =     0.4334

------------------------------------------------------------------------------
  howrepayn3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1415649   .0105188    13.46   0.000     .1209459    .1621839
       _cons |   .2478974   .0046111    53.76   0.000     .2388587    .2569361
------------------------------------------------------------------------------
F test of absorbed indicators: F(1089, 9934) = 1.436          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     11,020
Absorbed variable: shark5_bor                   No. of categories =      5,588
                                                F(   1,   5431)   =      88.68
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5226
                                                Adj R-squared     =     0.0315
                                                Root MSE          =     0.4397

------------------------------------------------------------------------------
  howrepayn3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1451566    .015414     9.42   0.000      .114939    .1753741
       _cons |   .2471264   .0051596    47.90   0.000     .2370116    .2572412
------------------------------------------------------------------------------
F test of absorbed indicators: F(5587, 5431) = 1.026          Prob > F = 0.167
**************OLS: howrepayn2 *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     43.27
       Model |  .035830482         1  .035830482   Prob > F        =    0.0006
    Residual |   .00496874         6  .000828123   R-squared       =    0.8782
-------------+----------------------------------   Adj R-squared   =    0.8579
       Total |  .040799222         7   .00582846   Root MSE        =    .02878

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1382374   .0210158     6.58   0.001     .0868135    .1896614
       _cons |   .0143099   .0128695     1.11   0.309    -.0171807    .0458005
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     30.23
       Model |  .037683029         2  .018841514   Prob > F        =    0.0016
    Residual |  .003116193         5  .000623239   R-squared       =    0.9236
-------------+----------------------------------   Adj R-squared   =    0.8931
       Total |  .040799222         7   .00582846   Root MSE        =    .02496

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0885377   .0341083     2.60   0.048     .0008594     .176216
       trend |   .0124249   .0072067     1.72   0.145    -.0061005    .0309503
       _cons |  -.0229649   .0243326    -0.94   0.389    -.0855139    .0395841
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0971794       -.1015087    -.084691*
             |                 97.5     .123911        .0854021    .1382374*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Lender: howrepayn2 *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     17.54
       Model |  .027452809         1  .027452809   Prob > F        =    0.0058
    Residual |  .009392912         6  .001565485   R-squared       =    0.7451
-------------+----------------------------------   Adj R-squared   =    0.7026
       Total |   .03684572         7  .005263674   Root MSE        =    .03957

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1210021   .0288951     4.19   0.006     .0502984    .1917058
       _cons |   .0182836   .0176945     1.03   0.341    -.0250134    .0615806
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     12.00
       Model |  .030491372         2  .015245686   Prob > F        =    0.0124
    Residual |  .006354349         5   .00127087   R-squared       =    0.8275
-------------+----------------------------------   Adj R-squared   =    0.7586
       Total |   .03684572         7  .005263674   Root MSE        =    .03565

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0573513   .0487062     1.18   0.292    -.0678519    .1825545
       trend |   .0159127   .0102911     1.55   0.183    -.0105413    .0423667
       _cons |  -.0294545   .0347466    -0.85   0.435    -.1187735    .0598645
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0894336       -.0943972   -.0744437*
             |                 97.5    .1163195        .0878796    .1210021*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower: howrepayn2 *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     14.82
       Model |  .029646161         1  .029646161   Prob > F        =    0.0085
    Residual |  .012000437         6  .002000073   R-squared       =    0.7119
-------------+----------------------------------   Adj R-squared   =    0.6638
       Total |  .041646598         7  .005949514   Root MSE        =    .04472

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1257429   .0326605     3.85   0.008     .0458257    .2056602
       _cons |   .0133456   .0200004     0.67   0.529    -.0355935    .0622848
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     11.87
       Model |  .034401006         2  .017200503   Prob > F        =    0.0126
    Residual |  .007245592         5  .001449118   R-squared       =    0.8260
-------------+----------------------------------   Adj R-squared   =    0.7564
       Total |  .041646598         7  .005949514   Root MSE        =    .03807

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0461201   .0520098     0.89   0.416    -.0875754    .1798156
       trend |   .0199057   .0109891     1.81   0.130    -.0083426     .048154
       _cons |  -.0463715   .0371034    -1.25   0.267    -.1417488    .0490058
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0915954       -.0992908   -.0802063*
             |                 97.5    .1211404        .0960095    .1257429*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower_Lender: howrepayn2 *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =      4.75
       Model |   .02005543         1   .02005543   Prob > F        =    0.0722
    Residual |  .025345036         6  .004224173   R-squared       =    0.4417
-------------+----------------------------------   Adj R-squared   =    0.3487
       Total |  .045400466         7  .006485781   Root MSE        =    .06499

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .1034226   .0474646     2.18   0.072    -.0127192    .2195644
       _cons |   .0316798    .029066     1.09   0.318    -.0394422    .1028019
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      5.34
       Model |  .030921729         2  .015460865   Prob > F        =    0.0574
    Residual |  .014478737         5  .002895747   R-squared       =    0.6811
-------------+----------------------------------   Adj R-squared   =    0.5535
       Total |  .045400466         7  .006485781   Root MSE        =    .05381

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.0169452   .0735214    -0.23   0.827    -.2059379    .1720476
       trend |   .0300919   .0155342     1.94   0.110    -.0098401    .0700239
       _cons |   -.058596   .0524496    -1.12   0.315     -.193422      .07623
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.1004707       -.1010289   -.0817939*
             |                 97.5       .1296        .0977482    .1320626*

* Lower (upper) confidence limit held at minimum (maximum) of sample

      Source |       SS           df       MS      Number of obs   =    11,025
-------------+----------------------------------   F(1, 11023)     =    210.50
       Model |  40.3224064         1  40.3224064   Prob > F        =    0.0000
    Residual |  2111.47025    11,023  .191551324   R-squared       =    0.0187
-------------+----------------------------------   Adj R-squared   =    0.0186
       Total |  2151.79265    11,024  .195191641   Root MSE        =    .43767

------------------------------------------------------------------------------
  howrepayn2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1525293   .0105129    14.51   0.000     .1319222    .1731365
       _cons |   .2360501   .0046468    50.80   0.000     .2269414    .2451587
------------------------------------------------------------------------------

Linear regression, absorbing indicators         Number of obs     =     11,020
Absorbed variable: sharkid5                     No. of categories =        773
                                                F(   1,  10246)   =     168.01
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1107
                                                Adj R-squared     =     0.0436
                                                Root MSE          =     0.4320

------------------------------------------------------------------------------
  howrepayn2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1425671   .0109988    12.96   0.000     .1210072    .1641269
       _cons |   .2379229   .0046433    51.24   0.000     .2288212    .2470247
------------------------------------------------------------------------------
F test of absorbed indicators: F(772, 10246) = 1.371          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     11,025
Absorbed variable: id                           No. of categories =      1,090
                                                F(   1,   9934)   =     190.67
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1662
                                                Adj R-squared     =     0.0748
                                                Root MSE          =     0.4250

------------------------------------------------------------------------------
  howrepayn2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1424168   .0103137    13.81   0.000     .1221997    .1626338
       _cons |   .2380258   .0045212    52.65   0.000     .2291633    .2468883
------------------------------------------------------------------------------
F test of absorbed indicators: F(1089, 9934) = 1.614          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     11,020
Absorbed variable: shark5_bor                   No. of categories =      5,588
                                                F(   1,   5431)   =     112.19
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5279
                                                Adj R-squared     =     0.0421
                                                Root MSE          =     0.4324

------------------------------------------------------------------------------
  howrepayn2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1605503   .0151576    10.59   0.000     .1308354    .1902653
       _cons |   .2344079   .0050737    46.20   0.000     .2244613    .2443544
------------------------------------------------------------------------------
F test of absorbed indicators: F(5587, 5431) = 1.048          Prob > F = 0.041
**************OLS: lenderrequestwork *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =      3.02
       Model |  .109484612         1  .109484612   Prob > F        =    0.1327
    Residual |    .2172713         6  .036211883   R-squared       =    0.3351
-------------+----------------------------------   Adj R-squared   =    0.2242
       Total |  .326755912         7  .046679416   Root MSE        =    .19029

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .2416439   .1389712     1.74   0.133    -.0984064    .5816943
       _cons |  -.0622937   .0851022    -0.73   0.492    -.2705312    .1459437
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      2.28
       Model |  .156016927         2  .078008463   Prob > F        =    0.1974
    Residual |  .170738986         5  .034147797   R-squared       =    0.4775
-------------+----------------------------------   Adj R-squared   =    0.2685
       Total |  .326755912         7  .046679416   Root MSE        =    .18479

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .4907284   .2524729     1.94   0.110    -.1582738    1.139731
       trend |  -.0622711   .0533446    -1.17   0.296    -.1993979    .0748556
       _cons |   .1245196   .1801122     0.69   0.520    -.3384735    .5875128
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.1777034       -.1780232   -.1620119*
             |                 97.5    .2525454        .2266761    .2606031*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Lender: lenderrequestwork *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =      2.93
       Model |  .116960901         1  .116960901   Prob > F        =    0.1375
    Residual |  .239142621         6  .039857103   R-squared       =    0.3284
-------------+----------------------------------   Adj R-squared   =    0.2165
       Total |  .356103522         7  .050871932   Root MSE        =    .19964

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .2497582   .1457982     1.71   0.138    -.1069972    .6065136
       _cons |  -.0637572   .0892828    -0.71   0.502    -.2822244    .1547099
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      2.24
       Model |  .168404819         2   .08420241   Prob > F        =    0.2017
    Residual |  .187698703         5  .037539741   R-squared       =    0.4729
-------------+----------------------------------   Adj R-squared   =    0.2621
       Total |  .356103522         7  .050871932   Root MSE        =    .19375

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .5116587   .2647153     1.93   0.111    -.1688136    1.192131
       trend |  -.0654751   .0559313    -1.17   0.294    -.2092511    .0783009
       _cons |   .1326682   .1888458     0.70   0.514    -.3527755    .6181119
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.1836637       -.1837733   -.1670002*
             |                 97.5    .2607828        .2346649    .2689315*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower: lenderrequestwork *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =      2.96
       Model |  .125525382         1  .125525382   Prob > F        =    0.1361
    Residual |  .254452218         6  .042408703   R-squared       =    0.3303
-------------+----------------------------------   Adj R-squared   =    0.2187
       Total |    .3799776         7  .054282514   Root MSE        =    .20593

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .2587409   .1503927     1.72   0.136    -.1092568    .6267387
       _cons |  -.0950792   .0920964    -1.03   0.342    -.3204309    .1302725
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      2.76
       Model |  .199338954         2  .099669477   Prob > F        =    0.1558
    Residual |  .180638646         5  .036127729   R-squared       =    0.5246
-------------+----------------------------------   Adj R-squared   =    0.3344
       Total |    .3799776         7  .054282514   Root MSE        =    .19007

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .5724575   .2596891     2.20   0.079    -.0950946     1.24001
       trend |  -.0784291   .0548693    -1.43   0.212    -.2194753     .062617
       _cons |   .1402082   .1852602     0.76   0.483    -.3360183    .6164347
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.2104227       -.2123972   -.1759003*
             |                 97.5    .2797559        .2490921    .2919413*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower_Lender: lenderrequestwork *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =      3.99
       Model |  .198214049         1  .198214049   Prob > F        =    0.0927
    Residual |  .297941279         6   .04965688   R-squared       =    0.3995
-------------+----------------------------------   Adj R-squared   =    0.2994
       Total |  .496155328         7  .070879333   Root MSE        =    .22284

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .3251371    .162738     2.00   0.093    -.0730685    .7233428
       _cons |  -.1488205   .0996563    -1.49   0.186    -.3926707    .0950296
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      5.12
       Model |  .333367526         2  .166683763   Prob > F        =    0.0617
    Residual |  .162787802         5   .03255756   R-squared       =    0.6719
-------------+----------------------------------   Adj R-squared   =    0.5407
       Total |  .496155328         7  .070879333   Root MSE        =    .18044

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .7496423   .2465241     3.04   0.029      .115932    1.383353
       trend |  -.1061263   .0520877    -2.04   0.097     -.240022    .0277694
       _cons |   .1695583   .1758684     0.96   0.379    -.2825257    .6216424
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.2867469       -.3001539    -.229006*
             |                 97.5    .3417898         .295742    .3459767*

* Lower (upper) confidence limit held at minimum (maximum) of sample

      Source |       SS           df       MS      Number of obs   =     9,503
-------------+----------------------------------   F(1, 9501)      =    493.88
       Model |  53.0948903         1  53.0948903   Prob > F        =    0.0000
    Residual |  1021.40579     9,501  .107505083   R-squared       =    0.0494
-------------+----------------------------------   Adj R-squared   =    0.0493
       Total |  1074.50068     9,502  .113081529   Root MSE        =    .32788

------------------------------------------------------------------------------
lenderrequ~k |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1789165   .0080508    22.22   0.000     .1631353    .1946978
       _cons |   .0896496   .0038213    23.46   0.000     .0821589    .0971402
------------------------------------------------------------------------------

Linear regression, absorbing indicators         Number of obs     =      9,498
Absorbed variable: sharkid5                     No. of categories =        752
                                                F(   1,   8745)   =     447.27
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1263
                                                Adj R-squared     =     0.0512
                                                Root MSE          =     0.3274

------------------------------------------------------------------------------
lenderrequ~k |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1809822   .0085576    21.15   0.000     .1642073     .197757
       _cons |   .0890206   .0038738    22.98   0.000     .0814269    .0966142
------------------------------------------------------------------------------
F test of absorbed indicators: F(751, 8745) = 1.023           Prob > F = 0.331

Linear regression, absorbing indicators         Number of obs     =      9,503
Absorbed variable: id                           No. of categories =      1,090
                                                F(   1,   8412)   =     510.31
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1778
                                                Adj R-squared     =     0.0713
                                                Root MSE          =     0.3241

------------------------------------------------------------------------------
lenderrequ~k |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1821657    .008064    22.59   0.000     .1663582    .1979731
       _cons |   .0889175   .0037884    23.47   0.000     .0814912    .0963438
------------------------------------------------------------------------------
F test of absorbed indicators: F(1089, 8412) = 1.206          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =      9,498
Absorbed variable: shark5_bor                   No. of categories =      5,242
                                                F(   1,   4255)   =     288.89
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6612
                                                Adj R-squared     =     0.2438
                                                Root MSE          =     0.2923

------------------------------------------------------------------------------
lenderrequ~k |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .1851033   .0108905    17.00   0.000     .1637523    .2064543
       _cons |   .0880916   .0038758    22.73   0.000      .080493    .0956901
------------------------------------------------------------------------------
F test of absorbed indicators: F(5241, 4255) = 1.465          Prob > F = 0.000
**************OLS: conscription *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =      5.94
       Model |  .356480201         1  .356480201   Prob > F        =    0.0506
    Residual |  .359783832         6  .059963972   R-squared       =    0.4977
-------------+----------------------------------   Adj R-squared   =    0.4140
       Total |  .716264033         7  .102323433   Root MSE        =    .24488

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.4360307   .1788317    -2.44   0.051    -.8736162    .0015548
       _cons |   .0393651   .1095116     0.36   0.732    -.2286002    .3073303
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      2.72
       Model |  .373128285         2  .186564143   Prob > F        =    0.1588
    Residual |  .343135748         5   .06862715   R-squared       =    0.5209
-------------+----------------------------------   Adj R-squared   =    0.3293
       Total |  .716264033         7  .102323433   Root MSE        =    .26197

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.2870426   .3579162    -0.80   0.459    -1.207096    .6330103
       trend |   -.037247   .0756236    -0.49   0.643    -.2316437    .1571496
       _cons |   .1511061   .2553347     0.59   0.580    -.5052525    .8074648
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.4614205       -.4697511   -.4406212*
             |                 97.5    .2899027        .2824073    .2899027*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Lender: conscription *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =      6.19
       Model |  .366078269         1  .366078269   Prob > F        =    0.0473
    Residual |  .354803355         6  .059133893   R-squared       =    0.5078
-------------+----------------------------------   Adj R-squared   =    0.4258
       Total |  .720881624         7  .102983089   Root MSE        =    .24317

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.4418617   .1775896    -2.49   0.047    -.8764078   -.0073155
       _cons |   .0336736    .108751     0.31   0.767    -.2324305    .2997777
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      2.86
       Model |  .384512025         2  .192256013   Prob > F        =    0.1487
    Residual |  .336369599         5   .06727392   R-squared       =    0.5334
-------------+----------------------------------   Adj R-squared   =    0.3467
       Total |  .720881624         7  .102983089   Root MSE        =    .25937

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.2850869   .3543698    -0.80   0.458    -1.196024    .6258498
       trend |  -.0391937   .0748743    -0.52   0.623    -.2316642    .1532768
       _cons |   .1512547   .2528047     0.60   0.576    -.4986005    .8011099
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.4654385       -.4714431   -.4426622*
             |                 97.5    .2960605        .2859269    .3009339*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower: conscription *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =      8.52
       Model |  .388776021         1  .388776021   Prob > F        =    0.0267
    Residual |  .273866214         6  .045644369   R-squared       =    0.5867
-------------+----------------------------------   Adj R-squared   =    0.5178
       Total |  .662642236         7  .094663177   Root MSE        =    .21365

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.4553539   .1560246    -2.92   0.027    -.8371323   -.0735756
       _cons |  -.0824174   .0955451    -0.86   0.421    -.3162079    .1513731
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      6.82
       Model |   .48496238         2   .24248119   Prob > F        =    0.0372
    Residual |  .177679856         5  .035535971   R-squared       =    0.7319
-------------+----------------------------------   Adj R-squared   =    0.6246
       Total |  .662642236         7  .094663177   Root MSE        =    .18851

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   -.097236   .2575535    -0.38   0.721    -.7592984    .5648264
       trend |  -.0895295   .0544181    -1.65   0.161    -.2294157    .0503567
       _cons |   .1861711   .1837367     1.01   0.357    -.2861391    .6584813
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5    -.483364       -.5040671   -.3989884*
             |                 97.5    .3510692         .310623    .3628457*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower_Lender: conscription *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =      6.32
       Model |  .320375869         1  .320375869   Prob > F        =    0.0457
    Residual |  .304286319         6  .050714386   R-squared       =    0.5129
-------------+----------------------------------   Adj R-squared   =    0.4317
       Total |  .624662188         7  .089237455   Root MSE        =     .2252

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.4133608   .1644618    -2.51   0.046    -.8157842   -.0109373
       _cons |  -.0498627   .1007119    -0.50   0.638    -.2962958    .1965703
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      5.31
       Model |  .424833624         2  .212416812   Prob > F        =    0.0579
    Residual |  .199828564         5  .039965713   R-squared       =    0.6801
-------------+----------------------------------   Adj R-squared   =    0.5521
       Total |  .624662188         7  .089237455   Root MSE        =    .19991

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.0401624   .2731349    -0.15   0.889     -.742278    .6619531
       trend |  -.0932996   .0577103    -1.62   0.167    -.2416486    .0550494
       _cons |    .230036   .1948523     1.18   0.291    -.2708478    .7309199
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.4414859       -.4622741   -.3600572*
             |                 97.5    .3722775        .3122398    .3807367*

* Lower (upper) confidence limit held at minimum (maximum) of sample

      Source |       SS           df       MS      Number of obs   =     1,227
-------------+----------------------------------   F(1, 1225)      =    144.05
       Model |  15.6359171         1  15.6359171   Prob > F        =    0.0000
    Residual |   132.97207     1,225  .108548628   R-squared       =    0.1052
-------------+----------------------------------   Adj R-squared   =    0.1045
       Total |  148.607987     1,226  .121213692   Root MSE        =    .32947

------------------------------------------------------------------------------
conscription |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   -.226423   .0188656   -12.00   0.000    -.2634355   -.1894105
       _cons |   .9636364   .0128245    75.14   0.000      .938476    .9887968
------------------------------------------------------------------------------

Linear regression, absorbing indicators         Number of obs     =      1,225
Absorbed variable: sharkid5                     No. of categories =        338
                                                F(   1,    886)   =     116.38
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3736
                                                Adj R-squared     =     0.1346
                                                Root MSE          =     0.3241

------------------------------------------------------------------------------
conscription |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -.2429115   .0225173   -10.79   0.000     -.287105    -.198718
       _cons |   .9712088   .0139417    69.66   0.000     .9438463    .9985714
------------------------------------------------------------------------------
F test of absorbed indicators: F(337, 886) = 1.127            Prob > F = 0.089

Linear regression, absorbing indicators         Number of obs     =      1,227
Absorbed variable: id                           No. of categories =        724
                                                F(   1,    502)   =     281.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.8125
                                                Adj R-squared     =     0.5422
                                                Root MSE          =     0.2356

------------------------------------------------------------------------------
conscription |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -.3753915   .0223602   -16.79   0.000    -.4193226   -.3314603
       _cons |   1.032475   .0123286    83.75   0.000     1.008253    1.056697
------------------------------------------------------------------------------
F test of absorbed indicators: F(723, 502) = 2.620            Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =      1,225
Absorbed variable: shark5_bor                   No. of categories =      1,177
                                                F(   1,     47)   =      13.82
                                                Prob > F          =     0.0005
                                                R-squared         =     0.9870
                                                Adj R-squared     =     0.6614
                                                Root MSE          =     0.2027

------------------------------------------------------------------------------
conscription |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -.2272727   .0611277    -3.72   0.001    -.3502457   -.1042997
       _cons |   .9639703   .0288802    33.38   0.000     .9058708     1.02207
------------------------------------------------------------------------------
F test of absorbed indicators: F(1176, 47) = 2.711            Prob > F = 0.000
**************OLS: repayendD *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     30.91
       Model |   .01066376         1   .01066376   Prob > F        =    0.0014
    Residual |  .002069826         6  .000344971   R-squared       =    0.8375
-------------+----------------------------------   Adj R-squared   =    0.8104
       Total |  .012733586         7  .001819084   Root MSE        =    .01857

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0754144   .0135641     5.56   0.001     .0422243    .1086046
       _cons |   .0303897   .0083063     3.66   0.011      .010065    .0507145
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     20.00
       Model |  .011318808         2  .005659404   Prob > F        =    0.0041
    Residual |  .001414779         5  .000282956   R-squared       =    0.8889
-------------+----------------------------------   Adj R-squared   =    0.8445
       Total |  .012733586         7  .001819084   Root MSE        =    .01682

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0458612   .0229823     2.00   0.103    -.0132166    .1049389
       trend |   .0073883   .0048559     1.52   0.189    -.0050941    .0198708
       _cons |   .0082248   .0163954     0.50   0.637    -.0339208    .0503704
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0626022       -.0656478   -.0486025*
             |                 97.5     .067333        .0458542    .0754144*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Lender: repayendD *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     27.93
       Model |  .009832707         1  .009832707   Prob > F        =    0.0019
    Residual |  .002111933         6  .000351989   R-squared       =    0.8232
-------------+----------------------------------   Adj R-squared   =    0.7937
       Total |   .01194464         7  .001706377   Root MSE        =    .01876

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0724162   .0137014     5.29   0.002     .0388902    .1059423
       _cons |   .0326017   .0083903     3.89   0.008     .0120712    .0531321
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     21.48
       Model |   .01069929         2  .005349645   Prob > F        =    0.0035
    Residual |  .001245351         5   .00024907   R-squared       =    0.8957
-------------+----------------------------------   Adj R-squared   =    0.8540
       Total |   .01194464         7  .001706377   Root MSE        =    .01578

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0384244   .0215623     1.78   0.135    -.0170031     .093852
       trend |    .008498   .0045559     1.87   0.121    -.0032133    .0202092
       _cons |   .0071078   .0153823     0.46   0.663    -.0324338    .0466494
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0604518       -.0625238   -.0466743*
             |                 97.5    .0644953        .0430015    .0724162*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower: repayendD *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     14.76
       Model |  .011575823         1  .011575823   Prob > F        =    0.0085
    Residual |  .004706643         6   .00078444   R-squared       =    0.7109
-------------+----------------------------------   Adj R-squared   =    0.6628
       Total |  .016282465         7  .002326066   Root MSE        =    .02801

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0785734   .0204541     3.84   0.009     .0285241    .1286226
       _cons |   .0391099   .0125255     3.12   0.021     .0084611    .0697587
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     15.70
       Model |  .014045695         2  .007022847   Prob > F        =    0.0070
    Residual |  .002236771         5  .000447354   R-squared       =    0.8626
-------------+----------------------------------   Adj R-squared   =    0.8077
       Total |  .016282465         7  .002326066   Root MSE        =    .02115

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0211873   .0288974     0.73   0.496    -.0530959    .0954705
       trend |   .0143465   .0061057     2.35   0.066    -.0013487    .0300417
       _cons |  -.0039297   .0206152    -0.19   0.856    -.0569227    .0490634
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0677968       -.0682362   -.0480522*
             |                 97.5    .0766336        .0538251    .0785734*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower_Lender: repayendD *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =      0.74
       Model |  .002729504         1  .002729504   Prob > F        =    0.4232
    Residual |  .022177079         6   .00369618   R-squared       =    0.1096
-------------+----------------------------------   Adj R-squared   =   -0.0388
       Total |  .024906583         7  .003558083   Root MSE        =     .0608

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0381541   .0443993     0.86   0.423     -.070487    .1467952
       _cons |    .110842   .0271889     4.08   0.007     .0443132    .1773708
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      6.95
       Model |  .018318403         2  .009159201   Prob > F        =    0.0360
    Residual |   .00658818         5  .001317636   R-squared       =    0.7355
-------------+----------------------------------   Adj R-squared   =    0.6297
       Total |  .024906583         7  .003558083   Root MSE        =     .0363

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.1060166   .0495942    -2.14   0.086    -.2335026    .0214694
       trend |   .0360427   .0104787     3.44   0.018     .0091063     .062979
       _cons |   .0027139   .0353801     0.08   0.942    -.0882336    .0936615
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5    -.089666       -.0940551   -.0690416*
             |                 97.5    .0727532        .0599914    .0737711*

* Lower (upper) confidence limit held at minimum (maximum) of sample

      Source |       SS           df       MS      Number of obs   =    11,031
-------------+----------------------------------   F(1, 11029)     =    140.01
       Model |  9.63227371         1  9.63227371   Prob > F        =    0.0000
    Residual |  758.765877    11,029  .068797341   R-squared       =    0.0125
-------------+----------------------------------   Adj R-squared   =    0.0124
       Total |  768.398151    11,030  .069664384   Root MSE        =    .26229

------------------------------------------------------------------------------
   repayendD |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .0745577   .0063011    11.83   0.000     .0622065    .0869089
       _cons |   .9101149   .0027837   326.94   0.000     .9046583    .9155715
------------------------------------------------------------------------------

Linear regression, absorbing indicators         Number of obs     =     11,026
Absorbed variable: sharkid5                     No. of categories =        773
                                                F(   1,  10252)   =     114.52
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1140
                                                Adj R-squared     =     0.0472
                                                Root MSE          =     0.2577

------------------------------------------------------------------------------
   repayendD |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .0702103   .0065609    10.70   0.000     .0573496    .0830709
       _cons |    .910923   .0027683   329.05   0.000     .9054965    .9163495
------------------------------------------------------------------------------
F test of absorbed indicators: F(772, 10252) = 1.521          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     11,031
Absorbed variable: id                           No. of categories =      1,090
                                                F(   1,   9940)   =     162.90
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1708
                                                Adj R-squared     =     0.0799
                                                Root MSE          =     0.2532

------------------------------------------------------------------------------
   repayendD |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .0784291   .0061449    12.76   0.000     .0663838    .0904744
       _cons |   .9093593   .0026924   337.75   0.000     .9040816     .914637
------------------------------------------------------------------------------
F test of absorbed indicators: F(1089, 9940) = 1.742          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =     11,026
Absorbed variable: shark5_bor                   No. of categories =      5,592
                                                F(   1,   5433)   =       9.46
                                                Prob > F          =     0.0021
                                                R-squared         =     0.6478
                                                Adj R-squared     =     0.2852
                                                Root MSE          =     0.2232

------------------------------------------------------------------------------
   repayendD |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .0240799    .007828     3.08   0.002     .0087338     .039426
       _cons |   .9199307   .0026181   351.37   0.000     .9147981    .9250633
------------------------------------------------------------------------------
F test of absorbed indicators: F(5591, 5433) = 1.752          Prob > F = 0.000

. 
. 
. preserve

.         
.         keep if repayfull ==0 | repayend<2
(1,529 observations deleted)

. 
. foreach ii in noforce remind  {
  2. 
. di "**************OLS: `ii' *************************"
  3. quietly xi: reg `ii' i.year
  4.         forvalues x = 10/16 {
  5.                 quietly replace ydum = _b[_Iyear_20`x'] if _n==`x'-8
  6.                 }
  7.                 reg ydum enforced
  8.                 reg ydum enforced trend
  9.                 scalar count = 1
 10.                         forvalues i = 1/6 {
 11.                                 scalar jm = `i'+1
 12.                                 forvalues j = `=jm'/7 {
 13.                                         scalar km = `j' + 1
 14.                                         forvalues k = `=km'/8 {
 15.                                         quietly replace fake = 1 if (_n==`i'|_n==`j'|_n==`k')
 16.                                         quietly reg ydum fake
 17.                                         scalar count = count + 1
 18.                                         quietly replace coef = _b[fake] if _n==count
 19.                                         quietly replace fake = 0
 20.                                         }
 21.                                         }
 22.                                         }
 23.                         centile coef, centile(2.5 97.5)
 24. di "**************FE_Lender: `ii' *************************"
 25. quietly xi: areg `ii' i.year, abs(sharkid5)
 26.         forvalues x = 10/16 {
 27.                 quietly replace ydum = _b[_Iyear_20`x'] if _n==`x'-8
 28.                 }
 29.                 reg ydum enforced
 30.                 reg ydum enforced trend
 31.                 scalar count = 1
 32.                         forvalues i = 1/6 {
 33.                                 scalar jm = `i'+1
 34.                                 forvalues j = `=jm'/7 {
 35.                                         scalar km = `j' + 1
 36.                                         forvalues k = `=km'/8 {
 37.                                         quietly replace fake = 1 if (_n==`i'|_n==`j'|_n==`k')
 38.                                         quietly reg ydum fake
 39.                                         scalar count = count + 1
 40.                                         quietly replace coef = _b[fake] if _n==count
 41.                                         quietly replace fake = 0
 42.                                         }
 43.                                         }
 44.                                         }
 45.                         centile coef, centile(2.5 97.5)
 46. di "**************FE_Borrower: `ii' *************************"
 47. quietly xi: areg `ii' i.year, abs(id)
 48.         forvalues x = 10/16 {
 49.                 quietly replace ydum = _b[_Iyear_20`x'] if _n==`x'-8
 50.                 }
 51.                 reg ydum enforced
 52.                 reg ydum enforced trend
 53.                 scalar count = 1
 54.                         forvalues i = 1/6 {
 55.                                 scalar jm = `i'+1
 56.                                 forvalues j = `=jm'/7 {
 57.                                         scalar km = `j' + 1
 58.                                         forvalues k = `=km'/8 {
 59.                                         quietly replace fake = 1 if (_n==`i'|_n==`j'|_n==`k')
 60.                                         quietly reg ydum fake
 61.                                         scalar count = count + 1
 62.                                         quietly replace coef = _b[fake] if _n==count
 63.                                         quietly replace fake = 0
 64.                                         }
 65.                                         }
 66.                                         }
 67.                         centile coef, centile(2.5 97.5)
 68. di "**************FE_Borrower_Lender: `ii' *************************"
 69. quietly xi: areg `ii' i.year, abs(shark5_bor)
 70.         forvalues x = 10/16 {
 71.                 quietly replace ydum = _b[_Iyear_20`x'] if _n==`x'-8
 72.                 }
 73.                 reg ydum enforced
 74.                 reg ydum enforced trend
 75.                 scalar count = 1
 76.                         forvalues i = 1/6 {
 77.                                 scalar jm = `i'+1
 78.                                 forvalues j = `=jm'/7 {
 79.                                         scalar km = `j' + 1
 80.                                         forvalues k = `=km'/8 {
 81.                                         quietly replace fake = 1 if (_n==`i'|_n==`j'|_n==`k')
 82.                                         quietly reg ydum fake
 83.                                         scalar count = count + 1
 84.                                         quietly replace coef = _b[fake] if _n==count
 85.                                         quietly replace fake = 0
 86.                                         }
 87.                                         }
 88.                                         }
 89.                         centile coef, centile(2.5 97.5)
 90.         reg `ii' enforcement
 91.         areg `ii' enforcement, abs(sharkid5)
 92.         areg `ii' enforcement, abs(id)
 93.         areg `ii' enforcement, abs(shark5_bor)
 94.         }
**************OLS: noforce *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     84.59
       Model |   .00774398         1   .00774398   Prob > F        =    0.0001
    Residual |  .000549301         6   .00009155   R-squared       =    0.9338
-------------+----------------------------------   Adj R-squared   =    0.9227
       Total |  .008293281         7  .001184754   Root MSE        =    .00957

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   -.064266   .0069876    -9.20   0.000    -.0813641    -.047168
       _cons |  -.0094162    .004279    -2.20   0.070    -.0198866    .0010542
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     36.15
       Model |  .007756853         2  .003878426   Prob > F        =    0.0011
    Residual |  .000536428         5  .000107286   R-squared       =    0.9353
-------------+----------------------------------   Adj R-squared   =    0.9094
       Total |  .008293281         7  .001184754   Root MSE        =    .01036

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.0601231   .0141516    -4.25   0.008    -.0965009   -.0237454
       trend |  -.0010357   .0029901    -0.35   0.743    -.0087219    .0066505
       _cons |   -.006309   .0100956    -0.62   0.559    -.0322606    .0196426
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0539351        -.064266   -.0355251*
             |                 97.5    .0449695         .038016    .0454972*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Lender: noforce *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     56.87
       Model |  .007433587         1  .007433587   Prob > F        =    0.0003
    Residual |  .000784275         6  .000130713   R-squared       =    0.9046
-------------+----------------------------------   Adj R-squared   =    0.8887
       Total |  .008217862         7   .00117398   Root MSE        =    .01143

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.0629649   .0083495    -7.54   0.000    -.0833953   -.0425345
       _cons |  -.0133993    .005113    -2.62   0.040    -.0259103   -.0008883
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     28.21
       Model |  .007548851         2  .003774425   Prob > F        =    0.0019
    Residual |  .000669011         5  .000133802   R-squared       =    0.9186
-------------+----------------------------------   Adj R-squared   =    0.8860
       Total |  .008217862         7   .00117398   Root MSE        =    .01157

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.0505679   .0158039    -3.20   0.024    -.0911932   -.0099426
       trend |  -.0030992   .0033392    -0.93   0.396    -.0116829    .0054844
       _cons |  -.0041015   .0112744    -0.36   0.731    -.0330833    .0248802
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0545105       -.0629649   -.0360642*
             |                 97.5    .0455398        .0393202    .0464579*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower: noforce *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     21.69
       Model |  .007164481         1  .007164481   Prob > F        =    0.0035
    Residual |  .001981809         6  .000330302   R-squared       =    0.7833
-------------+----------------------------------   Adj R-squared   =    0.7472
       Total |   .00914629         7  .001306613   Root MSE        =    .01817

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.0618147   .0132726    -4.66   0.003    -.0942915   -.0293379
       _cons |   .0064427   .0081277     0.79   0.458    -.0134452    .0263306
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      9.58
       Model |  .007253927         2  .003626963   Prob > F        =    0.0195
    Residual |  .001892363         5  .000378473   R-squared       =    0.7931
-------------+----------------------------------   Adj R-squared   =    0.7103
       Total |   .00914629         7  .001306613   Root MSE        =    .01945

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |  -.0727354   .0265797    -2.74   0.041    -.1410607     -.00441
       trend |   .0027302    .005616     0.49   0.647    -.0117062    .0171665
       _cons |  -.0017478   .0189618    -0.09   0.930    -.0504906     .046995
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0565348       -.0618147   -.0440101*
             |                 97.5    .0464008        .0406841    .0464853*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower_Lender: noforce *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =      8.28
       Model |   .00787465         1   .00787465   Prob > F        =    0.0281
    Residual |  .005703631         6  .000950605   R-squared       =    0.5799
-------------+----------------------------------   Adj R-squared   =    0.5099
       Total |  .013578282         7  .001939755   Root MSE        =    .03083

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   -.064806   .0225164    -2.88   0.028    -.1199017   -.0097103
       _cons |   .0141413   .0137884     1.03   0.345    -.0195978    .0478804
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      4.45
       Model |  .008693977         2  .004346989   Prob > F        =    0.0776
    Residual |  .004884304         5  .000976861   R-squared       =    0.6403
-------------+----------------------------------   Adj R-squared   =    0.4964
       Total |  .013578282         7  .001939755   Root MSE        =    .03125

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   -.097858   .0427022    -2.29   0.071    -.2076274    .0119114
       trend |    .008263   .0090225     0.92   0.402      -.01493     .031456
       _cons |  -.0106477   .0304634    -0.35   0.741    -.0889563    .0676609
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0641257        -.064806   -.0487922*
             |                 97.5    .0595011        .0475429    .0600493*

* Lower (upper) confidence limit held at minimum (maximum) of sample

      Source |       SS           df       MS      Number of obs   =     9,499
-------------+----------------------------------   F(1, 9497)      =    108.60
       Model |  7.67625286         1  7.67625286   Prob > F        =    0.0000
    Residual |  671.297113     9,497  .070685176   R-squared       =    0.0113
-------------+----------------------------------   Adj R-squared   =    0.0112
       Total |  678.973366     9,498   .07148593   Root MSE        =    .26587

------------------------------------------------------------------------------
     noforce |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -.0680452   .0065296   -10.42   0.000    -.0808446   -.0552457
       _cons |   .0928115   .0030992    29.95   0.000     .0867364    .0988867
------------------------------------------------------------------------------

Linear regression, absorbing indicators         Number of obs     =      9,494
Absorbed variable: sharkid5                     No. of categories =        752
                                                F(   1,   8741)   =      97.30
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1027
                                                Adj R-squared     =     0.0255
                                                Root MSE          =     0.2640

------------------------------------------------------------------------------
     noforce |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   -.068084   .0069023    -9.86   0.000    -.0816142   -.0545538
       _cons |   .0928692   .0031244    29.72   0.000     .0867446    .0989938
------------------------------------------------------------------------------
F test of absorbed indicators: F(751, 8741) = 1.185           Prob > F = 0.001

Linear regression, absorbing indicators         Number of obs     =      9,499
Absorbed variable: id                           No. of categories =      1,090
                                                F(   1,   8408)   =     110.03
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1745
                                                Adj R-squared     =     0.0675
                                                Root MSE          =     0.2582

------------------------------------------------------------------------------
     noforce |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -.0674069   .0064261   -10.49   0.000    -.0800037   -.0548102
       _cons |   .0926677   .0030189    30.70   0.000       .08675    .0985855
------------------------------------------------------------------------------
F test of absorbed indicators: F(1089, 8408) = 1.526          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =      9,494
Absorbed variable: shark5_bor                   No. of categories =      5,239
                                                F(   1,   4254)   =      65.15
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5402
                                                Adj R-squared     =    -0.0261
                                                Root MSE          =     0.2709

------------------------------------------------------------------------------
     noforce |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |  -.0814854   .0100955    -8.07   0.000    -.1012779   -.0616929
       _cons |   .0958899   .0035928    26.69   0.000     .0888462    .1029336
------------------------------------------------------------------------------
F test of absorbed indicators: F(5238, 4254) = 0.934          Prob > F = 0.990
**************OLS: remind *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =    157.41
       Model |  .014477819         1  .014477819   Prob > F        =    0.0000
    Residual |  .000551863         6  .000091977   R-squared       =    0.9633
-------------+----------------------------------   Adj R-squared   =    0.9572
       Total |  .015029682         7  .002147097   Root MSE        =    .00959

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0878721   .0070039    12.55   0.000     .0707342      .10501
       _cons |   .0147138    .004289     3.43   0.014      .004219    .0252085
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     75.56
       Model |  .014548329         2  .007274164   Prob > F        =    0.0002
    Residual |  .000481353         5  .000096271   R-squared       =    0.9680
-------------+----------------------------------   Adj R-squared   =    0.9552
       Total |  .015029682         7  .002147097   Root MSE        =    .00981

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |    .078176   .0134054     5.83   0.002     .0437163    .1126358
       trend |    .002424   .0028324     0.86   0.431    -.0048569     .009705
       _cons |   .0074417   .0095633     0.78   0.472    -.0171416     .032025
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0605166         -.06133   -.0543153*
             |                 97.5    .0719238        .0470304    .0878721*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Lender: remind *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     92.76
       Model |  .013062059         1  .013062059   Prob > F        =    0.0001
    Residual |  .000844896         6  .000140816   R-squared       =    0.9392
-------------+----------------------------------   Adj R-squared   =    0.9291
       Total |  .013906955         7  .001986708   Root MSE        =    .01187

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0834652   .0086661     9.63   0.000     .0622599    .1046704
       _cons |   .0200014   .0053069     3.77   0.009     .0070159    .0329869
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     56.28
       Model |  .013315449         2  .006657724   Prob > F        =    0.0004
    Residual |  .000591506         5  .000118301   R-squared       =    0.9575
-------------+----------------------------------   Adj R-squared   =    0.9405
       Total |  .013906955         7  .001986708   Root MSE        =    .01088

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0650844   .0148603     4.38   0.007     .0268847     .103284
       trend |   .0045952   .0031398     1.46   0.203     -.003476    .0126663
       _cons |   .0062158   .0106012     0.59   0.583    -.0210355    .0334672
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0592331       -.0608742   -.0538816*
             |                 97.5    .0690503        .0459355    .0834652*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower: remind *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     26.54
       Model |   .01356687         1   .01356687   Prob > F        =    0.0021
    Residual |  .003067525         6  .000511254   R-squared       =    0.8156
-------------+----------------------------------   Adj R-squared   =    0.7849
       Total |  .016634395         7  .002376342   Root MSE        =    .02261

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0850627   .0165127     5.15   0.002     .0446576    .1254678
       _cons |  -.0062319   .0101119    -0.62   0.560    -.0309749    .0185111
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =     11.09
       Model |  .013573257         2  .006786628   Prob > F        =    0.0145
    Residual |  .003061138         5  .000612228   R-squared       =    0.8160
-------------+----------------------------------   Adj R-squared   =    0.7424
       Total |  .016634395         7  .002376342   Root MSE        =    .02474

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0879808   .0338057     2.60   0.048     .0010805    .1748811
       trend |  -.0007295   .0071428    -0.10   0.923    -.0190906    .0176315
       _cons |  -.0040433   .0241167    -0.17   0.873    -.0660373    .0579507
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0591771       -.0594082     -.05629*
             |                 97.5    .0767796        .0624548    .0850627*

* Lower (upper) confidence limit held at minimum (maximum) of sample
**************FE_Borrower_Lender: remind *************************

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(1, 6)         =     14.30
       Model |  .012302171         1  .012302171   Prob > F        =    0.0092
    Residual |   .00516326         6  .000860543   R-squared       =    0.7044
-------------+----------------------------------   Adj R-squared   =    0.6551
       Total |  .017465431         7  .002495062   Root MSE        =    .02934

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |    .081001   .0214233     3.78   0.009     .0285801    .1334218
       _cons |  -.0036665    .013119    -0.28   0.789    -.0357676    .0284346
------------------------------------------------------------------------------

      Source |       SS           df       MS      Number of obs   =         8
-------------+----------------------------------   F(2, 5)         =      6.03
       Model |  .012347758         2  .006173879   Prob > F        =    0.0465
    Residual |  .005117673         5  .001023535   R-squared       =    0.7070
-------------+----------------------------------   Adj R-squared   =    0.5898
       Total |  .017465431         7  .002495062   Root MSE        =    .03199

------------------------------------------------------------------------------
        ydum |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    enforced |   .0887973   .0437104     2.03   0.098    -.0235638    .2011584
       trend |  -.0019491   .0092355    -0.21   0.841    -.0256897    .0217915
       _cons |   .0021807   .0311827     0.07   0.947    -.0779768    .0823383
------------------------------------------------------------------------------

                                                       -- Binom. Interp. --
    Variable |       Obs  Percentile    Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
        coef |        56        2.5   -.0653184       -.0663574   -.0543816*
             |                 97.5     .078311        .0626958     .081001*

* Lower (upper) confidence limit held at minimum (maximum) of sample

      Source |       SS           df       MS      Number of obs   =     9,499
-------------+----------------------------------   F(1, 9497)      =    153.14
       Model |  13.8083018         1  13.8083018   Prob > F        =    0.0000
    Residual |  856.343293     9,497  .090169874   R-squared       =    0.0159
-------------+----------------------------------   Adj R-squared   =    0.0158
       Total |  870.151595     9,498  .091614192   Root MSE        =    .30028

------------------------------------------------------------------------------
      remind |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .0912626   .0073749    12.37   0.000     .0768063    .1057189
       _cons |    .877429   .0035004   250.66   0.000     .8705674    .8842906
------------------------------------------------------------------------------

Linear regression, absorbing indicators         Number of obs     =      9,494
Absorbed variable: sharkid5                     No. of categories =        752
                                                F(   1,   8741)   =     131.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1066
                                                Adj R-squared     =     0.0297
                                                Root MSE          =     0.2981

------------------------------------------------------------------------------
      remind |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .0894696   .0077933    11.48   0.000      .074193    .1047463
       _cons |   .8778739   .0035277   248.85   0.000     .8709588    .8847891
------------------------------------------------------------------------------
F test of absorbed indicators: F(751, 8741) = 1.181           Prob > F = 0.001

Linear regression, absorbing indicators         Number of obs     =      9,499
Absorbed variable: id                           No. of categories =      1,090
                                                F(   1,   8408)   =     156.72
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1866
                                                Adj R-squared     =     0.0812
                                                Root MSE          =     0.2901

------------------------------------------------------------------------------
      remind |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .0904017   .0072212    12.52   0.000     .0762463    .1045571
       _cons |   .8776229   .0033924   258.70   0.000      .870973    .8842729
------------------------------------------------------------------------------
F test of absorbed indicators: F(1089, 8408) = 1.621          Prob > F = 0.000

Linear regression, absorbing indicators         Number of obs     =      9,494
Absorbed variable: shark5_bor                   No. of categories =      5,239
                                                F(   1,   4254)   =      67.49
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5964
                                                Adj R-squared     =     0.0993
                                                Root MSE          =     0.2872

------------------------------------------------------------------------------
      remind |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 enforcement |   .0879237   .0107026     8.22   0.000      .066941    .1089063
       _cons |   .8782224   .0038088   230.58   0.000     .8707552    .8856896
------------------------------------------------------------------------------
F test of absorbed indicators: F(5238, 4254) = 1.168          Prob > F = 0.000

. 
.         
. log close
      name:  <unnamed>
       log:  /Users/huailu/Dropbox/Loanshark/New_version/ReStats Final Files/Loanshark_Manuscript_Tables-hagemann.log
  log type:  text
 closed on:  17 Aug 2022, 00:01:16
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